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Détails du Torrent Pour "Udemy - The Data Science Course 2019 Complete Data Science Bootcamp"

Udemy - The Data Science Course 2019 Complete Data Science Bootcamp

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_NAME_:	Udemy - The Data Science Course 2019 Complete Data Science Bootcamp
Description: Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.
YouTube Video:
Catégorie:	Tutorials
Langue :	English
Taille totale:	11.49 GB
Info Hash:	F1F2D40F9A83BA4FB22E56FFDF7ECD687454D922
Ajouté par:	fclab16
Date:	2019-02-06 18:35:25
Statut Torrent:	Torrent Verified

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Liste des fichiers:

_FILE_	Taille
1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.mp4	49.03 MB
1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.vtt	5.62 kB
1. Part 1 Introduction/2. What Does the Course Cover.mp4	62.26 MB
1. Part 1 Introduction/2. What Does the Course Cover.vtt	4.49 kB
1. Part 1 Introduction/3. Download All Resources.html	730.00 B
10. Statistics - Descriptive Statistics/1. Types of Data.mp4	72.53 MB
10. Statistics - Descriptive Statistics/1. Types of Data.vtt	5.25 kB
10. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf.pdf	482.21 kB
10. Statistics - Descriptive Statistics/10. Numerical Variables Exercise.html	81.00 B
10. Statistics - Descriptive Statistics/10.1 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx	11.75 kB
10. Statistics - Descriptive Statistics/10.2 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx.xlsx	13.15 kB
10. Statistics - Descriptive Statistics/11. The Histogram.mp4	13.78 MB
10. Statistics - Descriptive Statistics/11. The Histogram.vtt	2.67 kB
10. Statistics - Descriptive Statistics/11.1 2.5. The Histogram_lesson.xlsx.xlsx	18.63 kB
10. Statistics - Descriptive Statistics/12. The Histogram.html	161.00 B
10. Statistics - Descriptive Statistics/13. Histogram Exercise.html	81.00 B
10. Statistics - Descriptive Statistics/13.1 2.5.The-Histogram-exercise.xlsx.xlsx	15.50 kB
10. Statistics - Descriptive Statistics/13.2 2.5.The-Histogram-exercise-solution.xlsx.xlsx	17.10 kB
10. Statistics - Descriptive Statistics/14. Cross Tables and Scatter Plots.mp4	39.80 MB
10. Statistics - Descriptive Statistics/14. Cross Tables and Scatter Plots.vtt	5.87 kB
10. Statistics - Descriptive Statistics/14.1 2.6. Cross table and scatter plot.xlsx.xlsx	26.12 kB
10. Statistics - Descriptive Statistics/15. Cross Tables and Scatter Plots.html	161.00 B
10. Statistics - Descriptive Statistics/16. Cross Tables and Scatter Plots Exercise.html	81.00 B
10. Statistics - Descriptive Statistics/16.1 2.6. Cross table and scatter plot_exercise.xlsx.xlsx	16.28 kB
10. Statistics - Descriptive Statistics/16.2 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx	40.44 kB
10. Statistics - Descriptive Statistics/17. Mean, median and mode.mp4	37.13 MB
10. Statistics - Descriptive Statistics/17. Mean, median and mode.vtt	5.00 kB
10. Statistics - Descriptive Statistics/17.1 2.7. Mean, median and mode_lesson.xlsx.xlsx	10.49 kB
10. Statistics - Descriptive Statistics/18. Mean, Median and Mode Exercise.html	81.00 B
10. Statistics - Descriptive Statistics/18.1 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx	11.35 kB
10. Statistics - Descriptive Statistics/18.2 2.7. Mean, median and mode_exercise.xlsx.xlsx	10.87 kB
10. Statistics - Descriptive Statistics/19. Skewness.mp4	19.40 MB
10. Statistics - Descriptive Statistics/19. Skewness.vtt	3.20 kB
10. Statistics - Descriptive Statistics/19.1 2.8. Skewness_lesson.xlsx.xlsx	34.63 kB
10. Statistics - Descriptive Statistics/2. Types of Data.html	161.00 B
10. Statistics - Descriptive Statistics/20. Skewness.html	161.00 B
10. Statistics - Descriptive Statistics/21. Skewness Exercise.html	81.00 B
10. Statistics - Descriptive Statistics/21.1 2.8. Skewness_exercise.xlsx.xlsx	9.49 kB
10. Statistics - Descriptive Statistics/21.2 2.8. Skewness_exercise_solution.xlsx.xlsx	19.78 kB
10. Statistics - Descriptive Statistics/22. Variance.mp4	50.95 MB
10. Statistics - Descriptive Statistics/22. Variance.vtt	6.64 kB
10. Statistics - Descriptive Statistics/22.1 2.9. Variance_lesson.xlsx.xlsx	10.08 kB
10. Statistics - Descriptive Statistics/23. Variance Exercise.html	522.00 B
10. Statistics - Descriptive Statistics/23.1 2.9. Variance_exercise.xlsx.xlsx	10.83 kB
10. Statistics - Descriptive Statistics/23.2 2.9. Variance_exercise_solution.xlsx.xlsx	11.05 kB
10. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.mp4	45.12 MB
10. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.vtt	5.75 kB
10. Statistics - Descriptive Statistics/24.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx.xlsx	10.97 kB
10. Statistics - Descriptive Statistics/25. Standard Deviation.html	161.00 B
10. Statistics - Descriptive Statistics/26. Standard Deviation and Coefficient of Variation Exercise.html	81.00 B
10. Statistics - Descriptive Statistics/26.1 2.10. Standard deviation and coefficient of variation_exercise.xlsx.xlsx	11.30 kB
10. Statistics - Descriptive Statistics/26.2 2.10. Standard deviation and coefficient of variation_exercise_solution.xlsx.xlsx	12.37 kB
10. Statistics - Descriptive Statistics/27. Covariance.mp4	27.49 MB
10. Statistics - Descriptive Statistics/27. Covariance.vtt	27.49 MB
10. Statistics - Descriptive Statistics/27.1 2.11. Covariance_lesson.xlsx.xlsx	24.92 kB
10. Statistics - Descriptive Statistics/28. Covariance.html	161.00 B
10. Statistics - Descriptive Statistics/29. Covariance Exercise.html	81.00 B
10. Statistics - Descriptive Statistics/29.1 2.11. Covariance_exercise.xlsx.xlsx	20.23 kB
10. Statistics - Descriptive Statistics/29.2 2.11. Covariance_exercise_solution.xlsx.xlsx	29.51 kB
10. Statistics - Descriptive Statistics/3. Levels of Measurement.mp4	54.39 MB
10. Statistics - Descriptive Statistics/3. Levels of Measurement.vtt	4.03 kB
10. Statistics - Descriptive Statistics/30. Correlation Coefficient.mp4	29.39 MB
10. Statistics - Descriptive Statistics/30. Correlation Coefficient.vtt	4.15 kB
10. Statistics - Descriptive Statistics/31. Correlation.html	161.00 B
10. Statistics - Descriptive Statistics/32. Correlation Coefficient Exercise.html	81.00 B
10. Statistics - Descriptive Statistics/32.1 2.12. Correlation_exercise_solution.xlsx.xlsx	29.48 kB
10. Statistics - Descriptive Statistics/32.2 2.12. Correlation_exercise.xlsx.xlsx	29.30 kB
10. Statistics - Descriptive Statistics/4. Levels of Measurement.html	161.00 B
10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.mp4	38.47 MB
10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.vtt	5.66 kB
10. Statistics - Descriptive Statistics/5.1 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx.xlsx	30.77 kB
10. Statistics - Descriptive Statistics/6. Categorical Variables - Visualization Techniques.html	161.00 B
10. Statistics - Descriptive Statistics/7. Categorical Variables Exercise.html	81.00 B
10. Statistics - Descriptive Statistics/7.1 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx	15.24 kB
10. Statistics - Descriptive Statistics/7.2 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx	41.11 kB
10. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.mp4	25.85 MB
10. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.vtt	3.83 kB
10. Statistics - Descriptive Statistics/8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx	11.44 kB
10. Statistics - Descriptive Statistics/9. Numerical Variables - Frequency Distribution Table.html	161.00 B
11. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4	160.46 MB
11. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.vtt	18.00 kB
11. Statistics - Practical Example Descriptive Statistics/1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx.xlsx	146.51 kB
11. Statistics - Practical Example Descriptive Statistics/2. Practical Example Descriptive Statistics Exercise.html	81.00 B
11. Statistics - Practical Example Descriptive Statistics/2.1 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx.xlsx	146.22 kB
11. Statistics - Practical Example Descriptive Statistics/2.2 2.13.Practical-example.Descriptive-statistics-exercise.xlsx.xlsx	120.28 kB
12. Statistics - Inferential Statistics Fundamentals/1. Introduction.mp4	15.50 MB
12. Statistics - Inferential Statistics Fundamentals/1. Introduction.vtt	1.44 kB
12. Statistics - Inferential Statistics Fundamentals/1.1 Course notes_inferential statistics.pdf.pdf	382.32 kB
12. Statistics - Inferential Statistics Fundamentals/10. Central Limit Theorem.html	161.00 B
12. Statistics - Inferential Statistics Fundamentals/11. Standard error.mp4	22.78 MB
12. Statistics - Inferential Statistics Fundamentals/11. Standard error.vtt	1.76 kB
12. Statistics - Inferential Statistics Fundamentals/12. Standard Error.html	161.00 B
12. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.mp4	47.83 MB
12. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.vtt	3.27 kB
12. Statistics - Inferential Statistics Fundamentals/14. Estimators and Estimates.html	161.00 B
12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.mp4	61.59 MB
12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.vtt	5.07 kB
12. Statistics - Inferential Statistics Fundamentals/2.1 Course notes_inferential statistics.pdf.pdf	382.32 kB
12. Statistics - Inferential Statistics Fundamentals/2.2 3.2. What is a distribution_lesson.xlsx.xlsx	19.46 kB
12. Statistics - Inferential Statistics Fundamentals/3. What is a Distribution.html	161.00 B
12. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.mp4	49.86 MB
12. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.vtt	4.32 kB
12. Statistics - Inferential Statistics Fundamentals/5. The Normal Distribution.html	161.00 B
12. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.mp4	22.50 MB
12. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.vtt	3.45 kB
12. Statistics - Inferential Statistics Fundamentals/6.1 3.4. Standard normal distribution_lesson.xlsx.xlsx	10.38 kB
12. Statistics - Inferential Statistics Fundamentals/7. The Standard Normal Distribution.html	161.00 B
12. Statistics - Inferential Statistics Fundamentals/8. The Standard Normal Distribution Exercise.html	81.00 B
12. Statistics - Inferential Statistics Fundamentals/8.1 3.4.Standard-normal-distribution-exercise.xlsx.xlsx	11.99 kB
12. Statistics - Inferential Statistics Fundamentals/8.2 3.4.Standard-normal-distribution-exercise-solution.xlsx.xlsx	24.04 kB
12. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp4	62.88 MB
12. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.vtt	4.95 kB
13. Statistics - Inferential Statistics Confidence Intervals/1. What are Confidence Intervals.mp4	49.98 MB
13. Statistics - Inferential Statistics Confidence Intervals/1. What are Confidence Intervals.vtt	2.86 kB
13. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.mp4	59.16 MB
13. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.vtt	5.39 kB
13. Statistics - Inferential Statistics Confidence Intervals/11. Margin of Error.html	161.00 B
13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.mp4	70.48 MB
13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.vtt	7.10 kB
13. Statistics - Inferential Statistics Confidence Intervals/12.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx.xlsx	10.47 kB
13. Statistics - Inferential Statistics Confidence Intervals/13. Confidence intervals. Two means. Dependent samples Exercise.html	81.00 B
13. Statistics - Inferential Statistics Confidence Intervals/13.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx.xlsx	13.74 kB
13. Statistics - Inferential Statistics Confidence Intervals/13.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx.xlsx	14.24 kB
13. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent samples (Part 1).mp4	28.75 MB
13. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent samples (Part 1).vtt	5.33 kB
13. Statistics - Inferential Statistics Confidence Intervals/14.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx.xlsx	9.83 kB
13. Statistics - Inferential Statistics Confidence Intervals/15. Confidence intervals. Two means. Independent samples (Part 1) Exercise.html	81.00 B
13. Statistics - Inferential Statistics Confidence Intervals/15.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx.xlsx	10.12 kB
13. Statistics - Inferential Statistics Confidence Intervals/15.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx.xlsx	9.83 kB
13. Statistics - Inferential Statistics Confidence Intervals/16. Confidence intervals. Two means. Independent samples (Part 2).mp4	26.83 MB
13. Statistics - Inferential Statistics Confidence Intervals/16. Confidence intervals. Two means. Independent samples (Part 2).vtt	3.98 kB
13. Statistics - Inferential Statistics Confidence Intervals/16.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx.xlsx	9.52 kB
13. Statistics - Inferential Statistics Confidence Intervals/17. Confidence intervals. Two means. Independent samples (Part 2) Exercise.html	81.00 B
13. Statistics - Inferential Statistics Confidence Intervals/17.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx.xlsx	9.17 kB
13. Statistics - Inferential Statistics Confidence Intervals/17.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx.xlsx	9.79 kB
13. Statistics - Inferential Statistics Confidence Intervals/18. Confidence intervals. Two means. Independent samples (Part 3).mp4	19.94 MB
13. Statistics - Inferential Statistics Confidence Intervals/18. Confidence intervals. Two means. Independent samples (Part 3).vtt	1.72 kB
13. Statistics - Inferential Statistics Confidence Intervals/2. What are Confidence Intervals.html	161.00 B
13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.mp4	78.21 MB
13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.vtt	8.65 kB
13. Statistics - Inferential Statistics Confidence Intervals/3.1 3.9. The z-table.xlsx.xlsx	18.48 kB
13. Statistics - Inferential Statistics Confidence Intervals/3.2 3.9. Population variance known, z-score_lesson.xlsx.xlsx	11.21 kB
13. Statistics - Inferential Statistics Confidence Intervals/4. Confidence Intervals; Population Variance Known; z-score; Exercise.html	81.00 B
13. Statistics - Inferential Statistics Confidence Intervals/4.1 3.9. Population variance known, z-score_exercise_solution.xlsx.xlsx	11.16 kB
13. Statistics - Inferential Statistics Confidence Intervals/4.2 3.9. Population variance known, z-score_exercise.xlsx.xlsx	10.83 kB
13. Statistics - Inferential Statistics Confidence Intervals/4.3 3.9. The z-table.xlsx.xlsx	18.48 kB
13. Statistics - Inferential Statistics Confidence Intervals/5. Confidence Interval Clarifications.mp4	57.03 MB
13. Statistics - Inferential Statistics Confidence Intervals/5. Confidence Interval Clarifications.vtt	4.82 kB
13. Statistics - Inferential Statistics Confidence Intervals/6. Student's T Distribution.mp4	35.43 MB
13. Statistics - Inferential Statistics Confidence Intervals/6. Student's T Distribution.vtt	3.68 kB
13. Statistics - Inferential Statistics Confidence Intervals/7. Student's T Distribution.html	161.00 B
13. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.mp4	32.21 MB
13. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.vtt	5.00 kB
13. Statistics - Inferential Statistics Confidence Intervals/8.1 3.11. Population variance unknown, t-score_lesson.xlsx.xlsx	10.78 kB
13. Statistics - Inferential Statistics Confidence Intervals/8.2 3.11. The t-table.xlsx.xlsx	15.85 kB
13. Statistics - Inferential Statistics Confidence Intervals/9. Confidence Intervals; Population Variance Unknown; t-score; Exercise.html	81.00 B
13. Statistics - Inferential Statistics Confidence Intervals/9.1 3.11. Population variance unknown, t-score_exercise.xlsx.xlsx	10.62 kB
13. Statistics - Inferential Statistics Confidence Intervals/9.2 3.11. Population variance unknown, t-score_exercise_solution.xlsx.xlsx	11.10 kB
14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4	102.67 MB
14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.vtt	11.90 kB
14. Statistics - Practical Example Inferential Statistics/1.1 3.17. Practical example. Confidence intervals_lesson.xlsx.xlsx	1.74 MB
14. Statistics - Practical Example Inferential Statistics/2. Practical Example Inferential Statistics Exercise.html	81.00 B
14. Statistics - Practical Example Inferential Statistics/2.1 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx.xlsx	1.74 MB
14. Statistics - Practical Example Inferential Statistics/2.2 3.17. Practical example. Confidence intervals_exercise.xlsx.xlsx	1.73 MB
15. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4	92.11 MB
15. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.vtt	6.43 kB
15. Statistics - Hypothesis Testing/1.1 Course notes_hypothesis_testing.pdf.pdf	648.20 kB
15. Statistics - Hypothesis Testing/10. p-value.mp4	55.87 MB
15. Statistics - Hypothesis Testing/10. p-value.vtt	4.46 kB
15. Statistics - Hypothesis Testing/10.1 Online p-value calculator.pdf.pdf	1.22 MB
15. Statistics - Hypothesis Testing/11. p-value.html	161.00 B
15. Statistics - Hypothesis Testing/12. Test for the Mean. Population Variance Unknown.mp4	40.25 MB
15. Statistics - Hypothesis Testing/12. Test for the Mean. Population Variance Unknown.vtt	5.11 kB
15. Statistics - Hypothesis Testing/12.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx.xlsx	14.54 kB
15. Statistics - Hypothesis Testing/13. Test for the Mean. Population Variance Unknown Exercise.html	81.00 B
15. Statistics - Hypothesis Testing/13.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx.xlsx	12.70 kB
15. Statistics - Hypothesis Testing/13.2 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx.xlsx	11.34 kB
15. Statistics - Hypothesis Testing/14. Test for the Mean. Dependent Samples.mp4	50.37 MB
15. Statistics - Hypothesis Testing/14. Test for the Mean. Dependent Samples.vtt	5.59 kB
15. Statistics - Hypothesis Testing/14.1 4.7. Test for the mean. Dependent samples_lesson.xlsx.xlsx	9.79 kB
15. Statistics - Hypothesis Testing/15. Test for the Mean. Dependent Samples Exercise.html	81.00 B
15. Statistics - Hypothesis Testing/15.1 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx.xlsx	14.40 kB
15. Statistics - Hypothesis Testing/15.2 4.7. Test for the mean. Dependent samples_exercise.xlsx.xlsx	12.80 kB
15. Statistics - Hypothesis Testing/16. Test for the mean. Independent samples (Part 1).mp4	29.96 MB
15. Statistics - Hypothesis Testing/16. Test for the mean. Independent samples (Part 1).vtt	4.80 kB
15. Statistics - Hypothesis Testing/16.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx.xlsx	9.63 kB
15. Statistics - Hypothesis Testing/17. Test for the mean. Independent samples (Part 1). Exercise.html	81.00 B
15. Statistics - Hypothesis Testing/17.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx.xlsx	10.77 kB
15. Statistics - Hypothesis Testing/17.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx.xlsx	11.27 kB
15. Statistics - Hypothesis Testing/18. Test for the mean. Independent samples (Part 2).mp4	36.37 MB
15. Statistics - Hypothesis Testing/18. Test for the mean. Independent samples (Part 2).vtt	4.72 kB
15. Statistics - Hypothesis Testing/18.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx.xlsx	9.31 kB
15. Statistics - Hypothesis Testing/19. Test for the mean. Independent samples (Part 2).html	161.00 B
15. Statistics - Hypothesis Testing/2. Further Reading on Null and Alternative Hypothesis.html	2.18 kB
15. Statistics - Hypothesis Testing/20. Test for the mean. Independent samples (Part 2) Exercise.html	81.00 B
15. Statistics - Hypothesis Testing/20.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx.xlsx	10.54 kB
15. Statistics - Hypothesis Testing/20.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx.xlsx	11.39 kB
15. Statistics - Hypothesis Testing/3. Null vs Alternative Hypothesis.html	161.00 B
15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4	112.27 MB
15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.vtt	7.83 kB
15. Statistics - Hypothesis Testing/4.1 Course notes_hypothesis_testing.pdf.pdf	648.20 kB
15. Statistics - Hypothesis Testing/5. Rejection Region and Significance Level.html	161.00 B
15. Statistics - Hypothesis Testing/6. Type I Error and Type II Error.mp4	43.93 MB
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15. Statistics - Hypothesis Testing/7. Type I Error and Type II Error.html	161.00 B
15. Statistics - Hypothesis Testing/8. Test for the Mean. Population Variance Known.mp4	54.22 MB
15. Statistics - Hypothesis Testing/8. Test for the Mean. Population Variance Known.vtt	7.12 kB
15. Statistics - Hypothesis Testing/8.1 4.4. Test for the mean. Population variance known_lesson.xlsx.xlsx	10.96 kB
15. Statistics - Hypothesis Testing/9. Test for the Mean. Population Variance Known Exercise.html	81.00 B
15. Statistics - Hypothesis Testing/9.1 4.4. Test for the mean. Population variance known_exercise.xlsx.xlsx	11.03 kB
15. Statistics - Hypothesis Testing/9.2 4.4. Test for the mean. Population variance known_exercise_solution.xlsx.xlsx	11.22 kB
16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.mp4	69.48 MB
16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.vtt	7.43 kB
16. Statistics - Practical Example Hypothesis Testing/1.1 4.10.Hypothesis-testing-section-practical-example.xlsx.xlsx	51.71 kB
16. Statistics - Practical Example Hypothesis Testing/2. Practical Example Hypothesis Testing Exercise.html	81.00 B
16. Statistics - Practical Example Hypothesis Testing/2.1 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx.xlsx	44.04 kB
16. Statistics - Practical Example Hypothesis Testing/2.2 4.10. Hypothesis testing section_practical example_exercise.xlsx.xlsx	43.38 kB
17. Part 3 Introduction to Python/1. Introduction to Programming.mp4	58.54 MB
17. Part 3 Introduction to Python/1. Introduction to Programming.vtt	6.08 kB
17. Part 3 Introduction to Python/10. Jupyter's Interface.html	161.00 B
17. Part 3 Introduction to Python/2. Introduction to Programming.html	161.00 B
17. Part 3 Introduction to Python/3. Why Python.mp4	75.07 MB
17. Part 3 Introduction to Python/3. Why Python.vtt	6.11 kB
17. Part 3 Introduction to Python/4. Why Python.html	161.00 B
17. Part 3 Introduction to Python/5. Why Jupyter.mp4	44.31 MB
17. Part 3 Introduction to Python/5. Why Jupyter.vtt	4.10 kB
17. Part 3 Introduction to Python/6. Why Jupyter.html	161.00 B
17. Part 3 Introduction to Python/7. Installing Python and Jupyter.mp4	54.41 MB
17. Part 3 Introduction to Python/7. Installing Python and Jupyter.vtt	6.23 kB
17. Part 3 Introduction to Python/8. Understanding Jupyter's Interface - the Notebook Dashboard.mp4	13.80 MB
17. Part 3 Introduction to Python/8. Understanding Jupyter's Interface - the Notebook Dashboard.vtt	3.25 kB
17. Part 3 Introduction to Python/9. Prerequisites for Coding in the Jupyter Notebooks.mp4	30.59 MB
17. Part 3 Introduction to Python/9. Prerequisites for Coding in the Jupyter Notebooks.vtt	6.80 kB
18. Python - Variables and Data Types/1. Variables.mp4	26.60 MB
18. Python - Variables and Data Types/1. Variables.vtt	5.35 kB
18. Python - Variables and Data Types/1.1 Python Introduction - Course Notes.pdf.pdf	2.04 MB
18. Python - Variables and Data Types/1.2 Variables - Resources.html	134.00 B
18. Python - Variables and Data Types/2. Variables.html	161.00 B
18. Python - Variables and Data Types/3. Numbers and Boolean Values in Python.mp4	17.06 MB
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18. Python - Variables and Data Types/3.1 Numbers and Boolean Values - Resources.html	134.00 B
18. Python - Variables and Data Types/4. Numbers and Boolean Values in Python.html	161.00 B
18. Python - Variables and Data Types/5. Python Strings.mp4	30.76 MB
18. Python - Variables and Data Types/5. Python Strings.vtt	6.46 kB
18. Python - Variables and Data Types/5.1 Strings - Resources.html	134.00 B
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19. Python - Basic Python Syntax/1. Using Arithmetic Operators in Python.mp4	18.92 MB
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19. Python - Basic Python Syntax/1.1 Arithmetic Operators - Resources.html	134.00 B
19. Python - Basic Python Syntax/10. Indexing Elements.mp4	5.93 MB
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19. Python - Basic Python Syntax/10.1 Indexing Elements - Resources.html	134.00 B
19. Python - Basic Python Syntax/11. Indexing Elements.html	161.00 B
19. Python - Basic Python Syntax/12. Structuring with Indentation.mp4	6.82 MB
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19. Python - Basic Python Syntax/12.1 Structure Your Code with Indentation - Resources.html	134.00 B
19. Python - Basic Python Syntax/13. Structuring with Indentation.html	161.00 B
19. Python - Basic Python Syntax/2. Using Arithmetic Operators in Python.html	161.00 B
19. Python - Basic Python Syntax/3. The Double Equality Sign.mp4	5.99 MB
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19. Python - Basic Python Syntax/5. How to Reassign Values.mp4	4.00 MB
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19. Python - Basic Python Syntax/7. Add Comments.mp4	5.00 MB
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19. Python - Basic Python Syntax/9. Understanding Line Continuation.mp4	2.35 MB
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2. The Field of Data Science - The Various Data Science Disciplines/1. Data Science and Business Buzzwords Why are there so many.mp4	81.41 MB
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2. The Field of Data Science - The Various Data Science Disciplines/3. What is the difference between Analysis and Analytics.mp4	53.56 MB
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2. The Field of Data Science - The Various Data Science Disciplines/5. Business Analytics, Data Analytics, and Data Science An Introduction.mp4	64.52 MB
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2. The Field of Data Science - The Various Data Science Disciplines/5.1 365_DataScience_Diagram.pdf.pdf	323.08 kB
2. The Field of Data Science - The Various Data Science Disciplines/6. Business Analytics, Data Analytics, and Data Science An Introduction.html	161.00 B
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4	108.98 MB
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2. The Field of Data Science - The Various Data Science Disciplines/9. A Breakdown of our Data Science Infographic.mp4	67.75 MB
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20. Python - Other Python Operators/1. Comparison Operators.mp4	10.18 MB
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20. Python - Other Python Operators/1.1 Comparison Operators - Resources.html	134.00 B
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20. Python - Other Python Operators/3. Logical and Identity Operators.mp4	30.06 MB
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21. Python - Conditional Statements/1. The IF Statement.mp4	13.63 MB
21. Python - Conditional Statements/1. The IF Statement.vtt	3.12 kB
21. Python - Conditional Statements/1.1 Introduction to the If Statement - Resources.html	134.00 B
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21. Python - Conditional Statements/3. The ELSE Statement.mp4	13.59 MB
21. Python - Conditional Statements/3. The ELSE Statement.vtt	2.45 kB
21. Python - Conditional Statements/3.1 Add an Else Statement - Resources.html	134.00 B
21. Python - Conditional Statements/4. The ELIF Statement.mp4	33.15 MB
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21. Python - Conditional Statements/5. A Note on Boolean Values.mp4	11.25 MB
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22. Python - Python Functions/1. Defining a Function in Python.mp4	7.74 MB
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22. Python - Python Functions/2. How to Create a Function with a Parameter.mp4	23.88 MB
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22. Python - Python Functions/3. Defining a Function in Python - Part II.mp4	14.78 MB
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22. Python - Python Functions/3.1 Another Way to Define a Function - Resources.html	134.00 B
22. Python - Python Functions/4. How to Use a Function within a Function.mp4	8.14 MB
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22. Python - Python Functions/4.1 Using a Function in Another Function - Resources.html	134.00 B
22. Python - Python Functions/5. Conditional Statements and Functions.mp4	15.69 MB
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22. Python - Python Functions/5.1 Combining Conditional Statements and Functions - Resources.html	134.00 B
22. Python - Python Functions/6. Functions Containing a Few Arguments.mp4	7.57 MB
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22. Python - Python Functions/6.1 Creating Functions Containing a Few Arguments - Resources.html	134.00 B
22. Python - Python Functions/7. Built-in Functions in Python.mp4	22.01 MB
22. Python - Python Functions/7. Built-in Functions in Python.vtt	3.68 kB
22. Python - Python Functions/7.1 Notable Built-In Functions in Python - Resources.html	134.00 B
22. Python - Python Functions/8. Python Functions.html	161.00 B
23. Python - Sequences/1. Lists.mp4	21.99 MB
23. Python - Sequences/1. Lists.vtt	4.30 kB
23. Python - Sequences/1.1 Lists - Resources.html	134.00 B
23. Python - Sequences/2. Lists.html	161.00 B
23. Python - Sequences/3. Using Methods.mp4	21.95 MB
23. Python - Sequences/3. Using Methods.vtt	3.47 kB
23. Python - Sequences/3.1 Help Yourself with Methods - Resources.html	134.00 B
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23. Python - Sequences/5. List Slicing.mp4	30.76 MB
23. Python - Sequences/5. List Slicing.vtt	4.83 kB
23. Python - Sequences/5.1 List Slicing - Resources.html	134.00 B
23. Python - Sequences/6. Tuples.mp4	16.67 MB
23. Python - Sequences/6. Tuples.vtt	2.96 kB
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23. Python - Sequences/7. Dictionaries.mp4	25.04 MB
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24. Python - Iterations/1. For Loops.mp4	11.79 MB
24. Python - Iterations/1. For Loops.vtt	2.44 kB
24. Python - Iterations/1.1 For Loops - Resources.html	134.00 B
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24. Python - Iterations/3. While Loops and Incrementing.mp4	15.44 MB
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24. Python - Iterations/4. Lists with the range() Function.mp4	11.43 MB
24. Python - Iterations/4. Lists with the range() Function.vtt	2.45 kB
24. Python - Iterations/4.1 Create Lists with the range() Function - Resources.html	134.00 B
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24. Python - Iterations/6. Conditional Statements and Loops.mp4	16.10 MB
24. Python - Iterations/6. Conditional Statements and Loops.vtt	3.15 kB
24. Python - Iterations/6.1 Use Conditional Statements and Loops Together - Resources.html	134.00 B
24. Python - Iterations/7. Conditional Statements, Functions, and Loops.mp4	9.48 MB
24. Python - Iterations/7. Conditional Statements, Functions, and Loops.vtt	2.09 kB
24. Python - Iterations/7.1 All In - Conditional Statements, Functions, and Loops - Resources.html	134.00 B
24. Python - Iterations/8. How to Iterate over Dictionaries.mp4	16.98 MB
24. Python - Iterations/8. How to Iterate over Dictionaries.vtt	3.34 kB
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25. Python - Advanced Python Tools/1. Object Oriented Programming.mp4	33.59 MB
25. Python - Advanced Python Tools/1. Object Oriented Programming.vtt	5.34 kB
25. Python - Advanced Python Tools/2. Object Oriented Programming.html	161.00 B
25. Python - Advanced Python Tools/3. Modules and Packages.mp4	8.51 MB
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25. Python - Advanced Python Tools/5. What is the Standard Library.mp4	18.04 MB
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25. Python - Advanced Python Tools/7. Importing Modules in Python.mp4	19.93 MB
25. Python - Advanced Python Tools/7. Importing Modules in Python.vtt	4.17 kB
25. Python - Advanced Python Tools/8. Importing Modules in Python.html	161.00 B
26. Part 4 Advanced Statistical Methods in Python/1. Introduction to Regression Analysis.mp4	17.33 MB
26. Part 4 Advanced Statistical Methods in Python/1. Introduction to Regression Analysis.vtt	1.95 kB
26. Part 4 Advanced Statistical Methods in Python/2. Introduction to Regression Analysis.html	161.00 B
27. Advanced Statistical Methods - Linear regression/1. The Linear Regression Model.mp4	57.37 MB
27. Advanced Statistical Methods - Linear regression/1. The Linear Regression Model.vtt	6.14 kB
27. Advanced Statistical Methods - Linear regression/10. Using Seaborn for Graphs.mp4	12.24 MB
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27. Advanced Statistical Methods - Linear regression/11. How to Interpret the Regression Table.mp4	44.65 MB
27. Advanced Statistical Methods - Linear regression/11. How to Interpret the Regression Table.vtt	5.50 kB
27. Advanced Statistical Methods - Linear regression/12. How to Interpret the Regression Table.html	161.00 B
27. Advanced Statistical Methods - Linear regression/13. Decomposition of Variability.mp4	49.66 MB
27. Advanced Statistical Methods - Linear regression/13. Decomposition of Variability.vtt	3.67 kB
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27. Advanced Statistical Methods - Linear regression/15. What is the OLS.mp4	28.31 MB
27. Advanced Statistical Methods - Linear regression/15. What is the OLS.vtt	3.33 kB
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27. Advanced Statistical Methods - Linear regression/17. R-Squared.mp4	41.04 MB
27. Advanced Statistical Methods - Linear regression/17. R-Squared.vtt	5.79 kB
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27. Advanced Statistical Methods - Linear regression/2. The Linear Regression Model.html	161.00 B
27. Advanced Statistical Methods - Linear regression/3. Correlation vs Regression.mp4	14.74 MB
27. Advanced Statistical Methods - Linear regression/3. Correlation vs Regression.vtt	1.82 kB
27. Advanced Statistical Methods - Linear regression/4. Correlation vs Regression.html	161.00 B
27. Advanced Statistical Methods - Linear regression/5. Geometrical Representation of the Linear Regression Model.mp4	5.12 MB
27. Advanced Statistical Methods - Linear regression/5. Geometrical Representation of the Linear Regression Model.vtt	1.45 kB
27. Advanced Statistical Methods - Linear regression/6. Geometrical Representation of the Linear Regression Model.html	161.00 B
27. Advanced Statistical Methods - Linear regression/7. Python Packages Installation.mp4	40.59 MB
27. Advanced Statistical Methods - Linear regression/7. Python Packages Installation.vtt	31.35 MB
27. Advanced Statistical Methods - Linear regression/8. First Regression in Python.mp4	44.56 MB
27. Advanced Statistical Methods - Linear regression/8. First Regression in Python.vtt	6.91 kB
27. Advanced Statistical Methods - Linear regression/8.1 Simple linear regression - Lecture.html	134.00 B
27. Advanced Statistical Methods - Linear regression/8.2 Simple linear regression - Exercise.html	134.00 B
27. Advanced Statistical Methods - Linear regression/9. First Regression in Python Exercise.html	76.00 B
27. Advanced Statistical Methods - Linear regression/9.1 Simple Linear Regression Exercise.html	134.00 B
28. Advanced Statistical Methods - Multiple Linear Regression/1. Multiple Linear Regression.mp4	21.52 MB
28. Advanced Statistical Methods - Multiple Linear Regression/1. Multiple Linear Regression.vtt	2.93 kB
28. Advanced Statistical Methods - Multiple Linear Regression/10. A1 Linearity.html	161.00 B
28. Advanced Statistical Methods - Multiple Linear Regression/11. A2 No Endogeneity.mp4	35.67 MB
28. Advanced Statistical Methods - Multiple Linear Regression/11. A2 No Endogeneity.vtt	4.58 kB
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28. Advanced Statistical Methods - Multiple Linear Regression/13. A3 Normality and Homoscedasticity.mp4	42.70 MB
28. Advanced Statistical Methods - Multiple Linear Regression/13. A3 Normality and Homoscedasticity.vtt	5.81 kB
28. Advanced Statistical Methods - Multiple Linear Regression/14. A4 No Autocorrelation.mp4	31.52 MB
28. Advanced Statistical Methods - Multiple Linear Regression/14. A4 No Autocorrelation.vtt	4.27 kB
28. Advanced Statistical Methods - Multiple Linear Regression/15. A4 No autocorrelation.html	161.00 B
28. Advanced Statistical Methods - Multiple Linear Regression/16. A5 No Multicollinearity.mp4	28.70 MB
28. Advanced Statistical Methods - Multiple Linear Regression/16. A5 No Multicollinearity.vtt	4.04 kB
28. Advanced Statistical Methods - Multiple Linear Regression/17. A5 No Multicollinearity.html	161.00 B
28. Advanced Statistical Methods - Multiple Linear Regression/18. Dealing with Categorical Data - Dummy Variables.mp4	55.67 MB
28. Advanced Statistical Methods - Multiple Linear Regression/18. Dealing with Categorical Data - Dummy Variables.vtt	7.11 kB
28. Advanced Statistical Methods - Multiple Linear Regression/18.1 Dummies - Lecture.html	134.00 B
28. Advanced Statistical Methods - Multiple Linear Regression/19. Dealing with Categorical Data - Dummy Variables.html	76.00 B
28. Advanced Statistical Methods - Multiple Linear Regression/19.1 Dummy variables Exercise.html	134.00 B
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28. Advanced Statistical Methods - Multiple Linear Regression/20. Making Predictions with the Linear Regression.mp4	24.69 MB
28. Advanced Statistical Methods - Multiple Linear Regression/20. Making Predictions with the Linear Regression.vtt	3.87 kB
28. Advanced Statistical Methods - Multiple Linear Regression/20.1 Making predictions - Lecture.html	134.00 B
28. Advanced Statistical Methods - Multiple Linear Regression/3. Adjusted R-Squared.mp4	54.84 MB
28. Advanced Statistical Methods - Multiple Linear Regression/3. Adjusted R-Squared.vtt	6.57 kB
28. Advanced Statistical Methods - Multiple Linear Regression/3.1 Multiple linear regression - Lecture.html	134.00 B
28. Advanced Statistical Methods - Multiple Linear Regression/4. Adjusted R-Squared.html	161.00 B
28. Advanced Statistical Methods - Multiple Linear Regression/5. Multiple Linear Regression Exercise.html	76.00 B
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28. Advanced Statistical Methods - Multiple Linear Regression/6. Test for Significance of the Model (F-Test).mp4	16.42 MB
28. Advanced Statistical Methods - Multiple Linear Regression/6. Test for Significance of the Model (F-Test).vtt	2.23 kB
28. Advanced Statistical Methods - Multiple Linear Regression/7. OLS Assumptions.mp4	21.86 MB
28. Advanced Statistical Methods - Multiple Linear Regression/7. OLS Assumptions.vtt	2.67 kB
28. Advanced Statistical Methods - Multiple Linear Regression/8. OLS Assumptions.html	161.00 B
28. Advanced Statistical Methods - Multiple Linear Regression/9. A1 Linearity.mp4	12.61 MB
28. Advanced Statistical Methods - Multiple Linear Regression/9. A1 Linearity.vtt	2.07 kB
29. Advanced Statistical Methods - Logistic Regression/1. Introduction to Logistic Regression.mp4	27.06 MB
29. Advanced Statistical Methods - Logistic Regression/1. Introduction to Logistic Regression.vtt	1.44 kB
29. Advanced Statistical Methods - Logistic Regression/10. Binary Predictors in a Logistic Regression.mp4	38.44 MB
29. Advanced Statistical Methods - Logistic Regression/10. Binary Predictors in a Logistic Regression.vtt	4.75 kB
29. Advanced Statistical Methods - Logistic Regression/10.1 Binary predictors.html	134.00 B
29. Advanced Statistical Methods - Logistic Regression/11. Binary Predictors in a Logistic Regression - Exercise.html	87.00 B
29. Advanced Statistical Methods - Logistic Regression/11.1 Binary Predictors in a Logistic Regression - Exercise.html	202.00 B
29. Advanced Statistical Methods - Logistic Regression/11.2 Bank_data.csv.csv	19.55 kB
29. Advanced Statistical Methods - Logistic Regression/11.3 Binary Predictors in a Logistic Regression - Solution.html	202.00 B
29. Advanced Statistical Methods - Logistic Regression/12. Calculating the Accuracy of the Model.mp4	32.85 MB
29. Advanced Statistical Methods - Logistic Regression/12. Calculating the Accuracy of the Model.vtt	3.63 kB
29. Advanced Statistical Methods - Logistic Regression/12.1 Accuracy.html	134.00 B
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29. Advanced Statistical Methods - Logistic Regression/13.1 Calculating the Accuracy of the Model - Exercise.html	197.00 B
29. Advanced Statistical Methods - Logistic Regression/13.2 Calculating the Accuracy of the Model - Solution.html	197.00 B
29. Advanced Statistical Methods - Logistic Regression/13.3 Bank_data.csv.csv	19.55 kB
29. Advanced Statistical Methods - Logistic Regression/14. Underfitting and Overfitting.mp4	22.29 MB
29. Advanced Statistical Methods - Logistic Regression/14. Underfitting and Overfitting.vtt	4.37 kB
29. Advanced Statistical Methods - Logistic Regression/15. Testing the Model.mp4	32.27 MB
29. Advanced Statistical Methods - Logistic Regression/15. Testing the Model.vtt	5.70 kB
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29. Advanced Statistical Methods - Logistic Regression/16. Testing the Model - Exercise.html	87.00 B
29. Advanced Statistical Methods - Logistic Regression/16.1 Bank_data_testing.csv.csv	8.30 kB
29. Advanced Statistical Methods - Logistic Regression/16.2 Bank_data.csv.csv	19.55 kB
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29. Advanced Statistical Methods - Logistic Regression/16.4 Testing the Model - Solution.html	177.00 B
29. Advanced Statistical Methods - Logistic Regression/2. A Simple Example in Python.mp4	34.69 MB
29. Advanced Statistical Methods - Logistic Regression/2. A Simple Example in Python.vtt	5.05 kB
29. Advanced Statistical Methods - Logistic Regression/2.1 Simple logistic regression example.html	134.00 B
29. Advanced Statistical Methods - Logistic Regression/3. Logistic vs Logit Function.mp4	86.50 MB
29. Advanced Statistical Methods - Logistic Regression/3. Logistic vs Logit Function.vtt	4.27 kB
29. Advanced Statistical Methods - Logistic Regression/4. Building a Logistic Regression.mp4	17.11 MB
29. Advanced Statistical Methods - Logistic Regression/4. Building a Logistic Regression.vtt	2.89 kB
29. Advanced Statistical Methods - Logistic Regression/4.1 Building a logistic regression.html	134.00 B
29. Advanced Statistical Methods - Logistic Regression/5. Building a Logistic Regression - Exercise.html	87.00 B
29. Advanced Statistical Methods - Logistic Regression/5.1 Building a Logistic Regression - Solution.html	190.00 B
29. Advanced Statistical Methods - Logistic Regression/5.2 Building a Logistic Regression - Exercise.html	190.00 B
29. Advanced Statistical Methods - Logistic Regression/5.3 Example_bank_data.csv.csv	6.21 kB
29. Advanced Statistical Methods - Logistic Regression/6. An Invaluable Coding Tip.mp4	23.05 MB
29. Advanced Statistical Methods - Logistic Regression/6. An Invaluable Coding Tip.vtt	2.78 kB
29. Advanced Statistical Methods - Logistic Regression/7. Understanding Logistic Regression Tables.mp4	30.55 MB
29. Advanced Statistical Methods - Logistic Regression/7. Understanding Logistic Regression Tables.vtt	4.84 kB
29. Advanced Statistical Methods - Logistic Regression/8. Understanding Logistic Regression Tables - Exercise.html	87.00 B
29. Advanced Statistical Methods - Logistic Regression/8.1 Understanding Logistic Regression Tables - Exercise.html	200.00 B
29. Advanced Statistical Methods - Logistic Regression/8.2 Bank_data.csv.csv	19.55 kB
29. Advanced Statistical Methods - Logistic Regression/8.3 Understanding Logistic Regression Tables - Solution.html	200.00 B
29. Advanced Statistical Methods - Logistic Regression/9. What do the Odds Actually Mean.mp4	32.28 MB
29. Advanced Statistical Methods - Logistic Regression/9. What do the Odds Actually Mean.vtt	4.18 kB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4	126.87 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.vtt	7.90 kB
3. The Field of Data Science - Connecting the Data Science Disciplines/2. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.html	161.00 B
30. Advanced Statistical Methods - Cluster Analysis/1. Introduction to Cluster Analysis.mp4	53.42 MB
30. Advanced Statistical Methods - Cluster Analysis/1. Introduction to Cluster Analysis.vtt	4.21 kB
30. Advanced Statistical Methods - Cluster Analysis/2. Some Examples of Clusters.mp4	71.54 MB
30. Advanced Statistical Methods - Cluster Analysis/2. Some Examples of Clusters.vtt	5.43 kB
30. Advanced Statistical Methods - Cluster Analysis/3. Difference between Classification and Clustering.mp4	36.15 MB
30. Advanced Statistical Methods - Cluster Analysis/3. Difference between Classification and Clustering.vtt	2.89 kB
30. Advanced Statistical Methods - Cluster Analysis/4. Math Prerequisites.mp4	14.56 MB
30. Advanced Statistical Methods - Cluster Analysis/4. Math Prerequisites.vtt	3.53 kB
31. Advanced Statistical Methods - K-Means Clustering/1. K-Means Clustering.mp4	27.29 MB
31. Advanced Statistical Methods - K-Means Clustering/1. K-Means Clustering.vtt	5.76 kB
31. Advanced Statistical Methods - K-Means Clustering/10. Relationship between Clustering and Regression.mp4	9.93 MB
31. Advanced Statistical Methods - K-Means Clustering/10. Relationship between Clustering and Regression.vtt	1.92 kB
31. Advanced Statistical Methods - K-Means Clustering/11. Market Segmentation with Cluster Analysis (Part 1).mp4	43.02 MB
31. Advanced Statistical Methods - K-Means Clustering/11. Market Segmentation with Cluster Analysis (Part 1).vtt	6.53 kB
31. Advanced Statistical Methods - K-Means Clustering/11.1 Market segmentation example.html	134.00 B
31. Advanced Statistical Methods - K-Means Clustering/12. Market Segmentation with Cluster Analysis (Part 2).mp4	56.12 MB
31. Advanced Statistical Methods - K-Means Clustering/12. Market Segmentation with Cluster Analysis (Part 2).vtt	7.96 kB
31. Advanced Statistical Methods - K-Means Clustering/12.1 Market segmentation example (Part 2).html	134.00 B
31. Advanced Statistical Methods - K-Means Clustering/13. How is Clustering Useful.mp4	74.46 MB
31. Advanced Statistical Methods - K-Means Clustering/13. How is Clustering Useful.vtt	5.65 kB
31. Advanced Statistical Methods - K-Means Clustering/14. EXERCISE Species Segmentation with Cluster Analysis (Part 1).html	87.00 B
31. Advanced Statistical Methods - K-Means Clustering/14.1 EXERCISE Species Segmentation with Cluster Analysis (Part 1).html	203.00 B
31. Advanced Statistical Methods - K-Means Clustering/14.2 EXERCISE Species Segmentation with Cluster Analysis (Part 1) - Solution.html	203.00 B
31. Advanced Statistical Methods - K-Means Clustering/14.3 iris_dataset.csv.csv	2.40 kB
31. Advanced Statistical Methods - K-Means Clustering/15. EXERCISE Species Segmentation with Cluster Analysis (Part 2).html	87.00 B
31. Advanced Statistical Methods - K-Means Clustering/15.1 iris_dataset.csv.csv	2.40 kB
31. Advanced Statistical Methods - K-Means Clustering/15.2 iris_with_answers.csv.csv	3.63 kB
31. Advanced Statistical Methods - K-Means Clustering/15.3 EXERCISE Species Segmentation with Cluster Analysis (Part 2).html	204.00 B
31. Advanced Statistical Methods - K-Means Clustering/15.4 EXERCISE Species Segmentation with Cluster Analysis (Part 2) - Solution.html	204.00 B
31. Advanced Statistical Methods - K-Means Clustering/2. A Simple Example of Clustering.mp4	51.82 MB
31. Advanced Statistical Methods - K-Means Clustering/2. A Simple Example of Clustering.vtt	8.28 kB
31. Advanced Statistical Methods - K-Means Clustering/2.1 Country clusters.html	134.00 B
31. Advanced Statistical Methods - K-Means Clustering/3. A Simple Example of Clustering - Exercise.html	87.00 B
31. Advanced Statistical Methods - K-Means Clustering/3.1 Countries_exercise.csv.csv	8.27 kB
31. Advanced Statistical Methods - K-Means Clustering/3.2 A Simple Example of Clustering - Solution.html	185.00 B
31. Advanced Statistical Methods - K-Means Clustering/3.3 A Simple Example of Clustering - Exercise.html	185.00 B
31. Advanced Statistical Methods - K-Means Clustering/4. Clustering Categorical Data.mp4	21.24 MB
31. Advanced Statistical Methods - K-Means Clustering/4. Clustering Categorical Data.vtt	2.81 kB
31. Advanced Statistical Methods - K-Means Clustering/4.1 Clustering categorical data.html	134.00 B
31. Advanced Statistical Methods - K-Means Clustering/5. Clustering Categorical Data.html	87.00 B
31. Advanced Statistical Methods - K-Means Clustering/5.1 Categorical.csv.csv	10.34 kB
31. Advanced Statistical Methods - K-Means Clustering/5.2 Clustering Categorical Data - Solution.html	182.00 B
31. Advanced Statistical Methods - K-Means Clustering/5.3 Clustering Categorical Data - Exercise.html	182.00 B
31. Advanced Statistical Methods - K-Means Clustering/6. How to Choose the Number of Clusters.mp4	44.14 MB
31. Advanced Statistical Methods - K-Means Clustering/6. How to Choose the Number of Clusters.vtt	6.43 kB
31. Advanced Statistical Methods - K-Means Clustering/6.1 Selecting the number of clusters.html	134.00 B
31. Advanced Statistical Methods - K-Means Clustering/7. How to Choose the Number of Clusters - Exercise.html	87.00 B
31. Advanced Statistical Methods - K-Means Clustering/7.1 How to Choose the Number of Clusters - Solution.html	191.00 B
31. Advanced Statistical Methods - K-Means Clustering/7.2 How to Choose the Number of Clusters - Exercise.html	191.00 B
31. Advanced Statistical Methods - K-Means Clustering/7.3 Countries_exercise.csv.csv	8.27 kB
31. Advanced Statistical Methods - K-Means Clustering/8. Pros and Cons of K-Means Clustering.mp4	37.71 MB
31. Advanced Statistical Methods - K-Means Clustering/8. Pros and Cons of K-Means Clustering.vtt	4.01 kB
31. Advanced Statistical Methods - K-Means Clustering/9. To Standardize or not to Standardize.mp4	30.11 MB
31. Advanced Statistical Methods - K-Means Clustering/9. To Standardize or not to Standardize.vtt	5.14 kB
32. Advanced Statistical Methods - Other Types of Clustering/1. Types of Clustering.mp4	44.57 MB
32. Advanced Statistical Methods - Other Types of Clustering/1. Types of Clustering.vtt	4.12 kB
32. Advanced Statistical Methods - Other Types of Clustering/2. Dendrogram.mp4	29.06 MB
32. Advanced Statistical Methods - Other Types of Clustering/2. Dendrogram.vtt	6.41 kB
32. Advanced Statistical Methods - Other Types of Clustering/3. Heatmaps.mp4	29.63 MB
32. Advanced Statistical Methods - Other Types of Clustering/3. Heatmaps.vtt	5.47 kB
32. Advanced Statistical Methods - Other Types of Clustering/3.1 Heatmaps.html	134.00 B
33. Part 5 Mathematics/1. What is a matrix.mp4	33.60 MB
33. Part 5 Mathematics/1. What is a matrix.vtt	3.80 kB
33. Part 5 Mathematics/10. Addition and Subtraction of Matrices.mp4	32.62 MB
33. Part 5 Mathematics/10. Addition and Subtraction of Matrices.vtt	3.48 kB
33. Part 5 Mathematics/10.1 Addition and Subtraction of Matrices Python Notebook.html	178.00 B
33. Part 5 Mathematics/11. Addition and Subtraction of Matrices.html	161.00 B
33. Part 5 Mathematics/12. Errors when Adding Matrices.mp4	11.18 MB
33. Part 5 Mathematics/12. Errors when Adding Matrices.vtt	2.27 kB
33. Part 5 Mathematics/12.1 Errors when Adding Matrices Python Notebook.html	220.00 B
33. Part 5 Mathematics/13. Transpose of a Matrix.mp4	38.08 MB
33. Part 5 Mathematics/13. Transpose of a Matrix.vtt	4.69 kB
33. Part 5 Mathematics/13.1 Transpose of a Matrix Python Notebook.html	167.00 B
33. Part 5 Mathematics/14. Dot Product.mp4	24.00 MB
33. Part 5 Mathematics/14. Dot Product.vtt	3.68 kB
33. Part 5 Mathematics/14.1 Dot Product Python Notebook.html	154.00 B
33. Part 5 Mathematics/15. Dot Product of Matrices.mp4	49.43 MB
33. Part 5 Mathematics/15. Dot Product of Matrices.vtt	8.22 kB
33. Part 5 Mathematics/15.1 Dot Product of Matrices Python Notebook.html	171.00 B
33. Part 5 Mathematics/16. Why is Linear Algebra Useful.mp4	144.33 MB
33. Part 5 Mathematics/16. Why is Linear Algebra Useful.vtt	10.31 kB
33. Part 5 Mathematics/2. What is a Matrix.html	161.00 B
33. Part 5 Mathematics/3. Scalars and Vectors.mp4	33.85 MB
33. Part 5 Mathematics/3. Scalars and Vectors.vtt	3.30 kB
33. Part 5 Mathematics/4. Scalars and Vectors.html	161.00 B
33. Part 5 Mathematics/5. Linear Algebra and Geometry.mp4	49.80 MB
33. Part 5 Mathematics/5. Linear Algebra and Geometry.vtt	3.54 kB
33. Part 5 Mathematics/6. Linear Algebra and Geometry.html	161.00 B
33. Part 5 Mathematics/7. Arrays in Python - A Convenient Way To Represent Matrices.mp4	26.68 MB
33. Part 5 Mathematics/7. Arrays in Python - A Convenient Way To Represent Matrices.vtt	5.31 kB
33. Part 5 Mathematics/7.1 Arrays in Python Notebook.html	181.00 B
33. Part 5 Mathematics/8. What is a Tensor.mp4	22.52 MB
33. Part 5 Mathematics/8. What is a Tensor.vtt	3.17 kB
33. Part 5 Mathematics/8.1 Tensors Notebook.html	148.00 B
33. Part 5 Mathematics/9. What is a Tensor.html	161.00 B
34. Part 6 Deep Learning/1. What to Expect from this Part.mp4	31.11 MB
34. Part 6 Deep Learning/1. What to Expect from this Part.vtt	4.05 kB
34. Part 6 Deep Learning/2. What is Machine Learning.html	161.00 B
35. Deep Learning - Introduction to Neural Networks/1. Introduction to Neural Networks.mp4	42.93 MB
35. Deep Learning - Introduction to Neural Networks/1. Introduction to Neural Networks.vtt	5.18 kB
35. Deep Learning - Introduction to Neural Networks/1.1 Course Notes - Section 2.pdf.pdf	927.67 kB
35. Deep Learning - Introduction to Neural Networks/10. The Linear Model with Multiple Inputs.html	161.00 B
35. Deep Learning - Introduction to Neural Networks/11. The Linear model with Multiple Inputs and Multiple Outputs.mp4	38.31 MB
35. Deep Learning - Introduction to Neural Networks/11. The Linear model with Multiple Inputs and Multiple Outputs.vtt	4.79 kB
35. Deep Learning - Introduction to Neural Networks/12. The Linear model with Multiple Inputs and Multiple Outputs.html	161.00 B
35. Deep Learning - Introduction to Neural Networks/13. Graphical Representation of Simple Neural Networks.mp4	22.65 MB
35. Deep Learning - Introduction to Neural Networks/13. Graphical Representation of Simple Neural Networks.vtt	2.34 kB
35. Deep Learning - Introduction to Neural Networks/14. Graphical Representation of Simple Neural Networks.html	161.00 B
35. Deep Learning - Introduction to Neural Networks/15. What is the Objective Function.mp4	17.92 MB
35. Deep Learning - Introduction to Neural Networks/15. What is the Objective Function.vtt	1.87 kB
35. Deep Learning - Introduction to Neural Networks/16. What is the Objective Function.html	161.00 B
35. Deep Learning - Introduction to Neural Networks/17. Common Objective Functions L2-norm Loss.mp4	23.28 MB
35. Deep Learning - Introduction to Neural Networks/17. Common Objective Functions L2-norm Loss.vtt	2.44 kB
35. Deep Learning - Introduction to Neural Networks/18. Common Objective Functions L2-norm Loss.html	161.00 B
35. Deep Learning - Introduction to Neural Networks/19. Common Objective Functions Cross-Entropy Loss.mp4	37.24 MB
35. Deep Learning - Introduction to Neural Networks/19. Common Objective Functions Cross-Entropy Loss.vtt	4.57 kB
35. Deep Learning - Introduction to Neural Networks/2. Introduction to Neural Networks.html	161.00 B
35. Deep Learning - Introduction to Neural Networks/20. Common Objective Functions Cross-Entropy Loss.html	161.00 B
35. Deep Learning - Introduction to Neural Networks/21. Optimization Algorithm 1-Parameter Gradient Descent.mp4	55.63 MB
35. Deep Learning - Introduction to Neural Networks/21. Optimization Algorithm 1-Parameter Gradient Descent.vtt	7.43 kB
35. Deep Learning - Introduction to Neural Networks/21.1 GD-function-example.xlsx.xlsx	42.18 kB
35. Deep Learning - Introduction to Neural Networks/22. Optimization Algorithm 1-Parameter Gradient Descent.html	161.00 B
35. Deep Learning - Introduction to Neural Networks/23. Optimization Algorithm n-Parameter Gradient Descent.mp4	39.42 MB
35. Deep Learning - Introduction to Neural Networks/23. Optimization Algorithm n-Parameter Gradient Descent.vtt	6.62 kB
35. Deep Learning - Introduction to Neural Networks/24. Optimization Algorithm n-Parameter Gradient Descent.html	161.00 B
35. Deep Learning - Introduction to Neural Networks/3. Training the Model.mp4	28.71 MB
35. Deep Learning - Introduction to Neural Networks/3. Training the Model.vtt	3.79 kB
35. Deep Learning - Introduction to Neural Networks/3.1 Course Notes - Section 2.pdf.pdf	927.67 kB
35. Deep Learning - Introduction to Neural Networks/4. Training the Model.html	161.00 B
35. Deep Learning - Introduction to Neural Networks/5. Types of Machine Learning.mp4	45.10 MB
35. Deep Learning - Introduction to Neural Networks/5. Types of Machine Learning.vtt	4.62 kB
35. Deep Learning - Introduction to Neural Networks/6. Types of Machine Learning.html	161.00 B
35. Deep Learning - Introduction to Neural Networks/7. The Linear Model (Linear Algebraic Version).mp4	28.44 MB
35. Deep Learning - Introduction to Neural Networks/7. The Linear Model (Linear Algebraic Version).vtt	3.43 kB
35. Deep Learning - Introduction to Neural Networks/8. The Linear Model.html	161.00 B
35. Deep Learning - Introduction to Neural Networks/9. The Linear Model with Multiple Inputs.mp4	25.12 MB
35. Deep Learning - Introduction to Neural Networks/9. The Linear Model with Multiple Inputs.vtt	2.74 kB
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/1. Basic NN Example (Part 1).mp4	20.59 MB
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/1. Basic NN Example (Part 1).vtt	3.91 kB
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/1.1 Bais NN Example Part 1.html	136.00 B
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/1.2 Shortcuts-for-Jupyter.pdf.pdf	619.17 kB
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/2. Basic NN Example (Part 2).mp4	34.95 MB
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/2. Basic NN Example (Part 2).vtt	5.88 kB
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/2.1 Basic NN Example (Part 2).html	136.00 B
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/3. Basic NN Example (Part 3).mp4	24.41 MB
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/3. Basic NN Example (Part 3).vtt	3.88 kB
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/3.1 Basic NN Example (Part 3).html	136.00 B
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/4. Basic NN Example (Part 4).mp4	61.13 MB
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/4. Basic NN Example (Part 4).vtt	9.46 kB
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/4.1 Basic NN Example (Part 4).html	145.00 B
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5. Basic NN Example Exercises.html	1.37 kB
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.1 Basic NN Example Exercise 3a Solution.html	154.00 B
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.10 Basic NN Example Exercise 3b Solution.html	154.00 B
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.2 Basic NN Example Exercise 2 Solution.html	149.00 B
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.3 Basic NN Example Exercise 3d Solution.html	154.00 B
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.4 Basic NN Example Exercise 5 Solution.html	149.00 B
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.5 Basic NN Example Exercise 4 Solution.html	149.00 B
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.6 Basic NN Example (All Exercises).html	143.00 B
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.7 Basic NN Example Exercise 1 Solution.html	149.00 B
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.8 Basic NN Example Exercise 3c Solution.html	154.00 B
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.9 Basic NN Example Exercise 6 Solution.html	149.00 B
37. Deep Learning - TensorFlow Introduction/1. How to Install TensorFlow.mp4	14.55 MB
37. Deep Learning - TensorFlow Introduction/1. How to Install TensorFlow.vtt	2.84 kB
37. Deep Learning - TensorFlow Introduction/1.1 Shortcuts-for-Jupyter.pdf.pdf	619.17 kB
37. Deep Learning - TensorFlow Introduction/2. A Note on Installing Packages in Anaconda.html	2.32 kB
37. Deep Learning - TensorFlow Introduction/3. TensorFlow Outline and Logic.mp4	47.69 MB
37. Deep Learning - TensorFlow Introduction/3. TensorFlow Outline and Logic.vtt	4.59 kB
37. Deep Learning - TensorFlow Introduction/4. Actual Introduction to TensorFlow.mp4	17.41 MB
37. Deep Learning - TensorFlow Introduction/4. Actual Introduction to TensorFlow.vtt	1.92 kB
37. Deep Learning - TensorFlow Introduction/4.1 Shortcuts-for-Jupyter.pdf.pdf	619.17 kB
37. Deep Learning - TensorFlow Introduction/5. Types of File Formats, supporting Tensors.mp4	20.34 MB
37. Deep Learning - TensorFlow Introduction/5. Types of File Formats, supporting Tensors.vtt	3.00 kB
37. Deep Learning - TensorFlow Introduction/5.1 Basic NN Example with TensorFlow (Part 1).html	154.00 B
37. Deep Learning - TensorFlow Introduction/6. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases.mp4	38.50 MB
37. Deep Learning - TensorFlow Introduction/6. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases.vtt	6.47 kB
37. Deep Learning - TensorFlow Introduction/6.1 Basic NN Example with TensorFlow (Part 2).html	154.00 B
37. Deep Learning - TensorFlow Introduction/7. Basic NN Example with TF Loss Function and Gradient Descent.mp4	32.52 MB
37. Deep Learning - TensorFlow Introduction/7. Basic NN Example with TF Loss Function and Gradient Descent.vtt	4.21 kB
37. Deep Learning - TensorFlow Introduction/7.1 Basic NN Example with TensorFlow (Part 3).html	154.00 B
37. Deep Learning - TensorFlow Introduction/8. Basic NN Example with TF Model Output.mp4	37.39 MB
37. Deep Learning - TensorFlow Introduction/8. Basic NN Example with TF Model Output.vtt	6.87 kB
37. Deep Learning - TensorFlow Introduction/8.1 Basic NN Example with TensorFlow (Complete).html	156.00 B
37. Deep Learning - TensorFlow Introduction/9. Basic NN Example with TF Exercises.html	1.59 kB
37. Deep Learning - TensorFlow Introduction/9.1 Basic NN Example with TensorFlow (All Exercises).html	154.00 B
37. Deep Learning - TensorFlow Introduction/9.2 Basic NN Example with TensorFlow Exercise 2.1 Solution.html	162.00 B
37. Deep Learning - TensorFlow Introduction/9.3 Basic NN Example with TensorFlow Exercise 4 Solution.html	160.00 B
37. Deep Learning - TensorFlow Introduction/9.4 Basic NN Example with TensorFlow Exercise 1 Solution.html	160.00 B
37. Deep Learning - TensorFlow Introduction/9.5 Basic NN Example with TensorFlow Exercise 2.3 Solution.html	162.00 B
37. Deep Learning - TensorFlow Introduction/9.6 Basic NN Example with TensorFlow Exercise 2.2 Solution.html	162.00 B
37. Deep Learning - TensorFlow Introduction/9.7 Basic NN Example with TensorFlow Exercise 3 Solution.html	160.00 B
37. Deep Learning - TensorFlow Introduction/9.8 Basic NN Example with TensorFlow Exercise 2.4 Solution.html	162.00 B
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/1. What is a Layer.mp4	12.50 MB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/1. What is a Layer.vtt	2.13 kB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/1.1 Course Notes - Section 6.pdf.pdf	936.42 kB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/2. What is a Deep Net.mp4	29.53 MB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/2. What is a Deep Net.vtt	2.84 kB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/2.1 Course Notes - Section 6.pdf.pdf	936.42 kB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/3. Digging into a Deep Net.mp4	59.36 MB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/3. Digging into a Deep Net.vtt	5.84 kB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/4. Non-Linearities and their Purpose.mp4	27.68 MB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/4. Non-Linearities and their Purpose.vtt	3.38 kB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/5. Activation Functions.mp4	25.09 MB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/5. Activation Functions.vtt	4.58 kB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/6. Activation Functions Softmax Activation.mp4	25.92 MB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/6. Activation Functions Softmax Activation.vtt	3.89 kB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/7. Backpropagation.mp4	34.95 MB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/7. Backpropagation.vtt	3.91 kB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/8. Backpropagation picture.mp4	19.50 MB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/8. Backpropagation picture.vtt	3.44 kB
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/9. Backpropagation - A Peek into the Mathematics of Optimization.html	539.00 B
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/9.1 Backpropagation-a-peek-into-the-Mathematics-of-Optimization.pdf.pdf	182.36 kB
39. Deep Learning - Overfitting/1. What is Overfitting.mp4	31.09 MB
39. Deep Learning - Overfitting/1. What is Overfitting.vtt	4.93 kB
39. Deep Learning - Overfitting/2. Underfitting and Overfitting for Classification.mp4	25.07 MB
39. Deep Learning - Overfitting/2. Underfitting and Overfitting for Classification.vtt	2.31 kB
39. Deep Learning - Overfitting/3. What is Validation.mp4	32.72 MB
39. Deep Learning - Overfitting/3. What is Validation.vtt	4.27 kB
39. Deep Learning - Overfitting/4. Training, Validation, and Test Datasets.mp4	25.20 MB
39. Deep Learning - Overfitting/4. Training, Validation, and Test Datasets.vtt	25.20 MB
39. Deep Learning - Overfitting/5. N-Fold Cross Validation.mp4	20.70 MB
39. Deep Learning - Overfitting/5. N-Fold Cross Validation.vtt	3.67 kB
39. Deep Learning - Overfitting/6. Early Stopping or When to Stop Training.mp4	24.17 MB
39. Deep Learning - Overfitting/6. Early Stopping or When to Stop Training.vtt	6.01 kB
4. The Field of Data Science - The Benefits of Each Discipline/1. The Reason behind these Disciplines.mp4	81.19 MB
4. The Field of Data Science - The Benefits of Each Discipline/1. The Reason behind these Disciplines.vtt	5.69 kB
4. The Field of Data Science - The Benefits of Each Discipline/2. The Reason behind these Disciplines.html	161.00 B
40. Deep Learning - Initialization/1. What is Initialization.mp4	21.77 MB
40. Deep Learning - Initialization/1. What is Initialization.vtt	3.09 kB
40. Deep Learning - Initialization/2. Types of Simple Initializations.mp4	14.31 MB
40. Deep Learning - Initialization/2. Types of Simple Initializations.vtt	3.23 kB
40. Deep Learning - Initialization/3. State-of-the-Art Method - (Xavier) Glorot Initialization.mp4	17.14 MB
40. Deep Learning - Initialization/3. State-of-the-Art Method - (Xavier) Glorot Initialization.vtt	3.24 kB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/1. Stochastic Gradient Descent.mp4	28.69 MB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/1. Stochastic Gradient Descent.vtt	4.18 kB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/2. Problems with Gradient Descent.mp4	11.02 MB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/2. Problems with Gradient Descent.vtt	2.50 kB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/3. Momentum.mp4	16.43 MB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/3. Momentum.vtt	3.04 kB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/4. Learning Rate Schedules, or How to Choose the Optimal Learning Rate.mp4	29.08 MB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/4. Learning Rate Schedules, or How to Choose the Optimal Learning Rate.vtt	5.22 kB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/5. Learning Rate Schedules Visualized.mp4	9.11 MB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/5. Learning Rate Schedules Visualized.vtt	1.90 kB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/6. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ).mp4	26.35 MB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/6. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ).vtt	4.57 kB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/7. Adam (Adaptive Moment Estimation).mp4	22.36 MB
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/7. Adam (Adaptive Moment Estimation).vtt	2.92 kB
42. Deep Learning - Preprocessing/1. Preprocessing Introduction.mp4	27.79 MB
42. Deep Learning - Preprocessing/1. Preprocessing Introduction.vtt	3.39 kB
42. Deep Learning - Preprocessing/2. Types of Basic Preprocessing.mp4	11.84 MB
42. Deep Learning - Preprocessing/2. Types of Basic Preprocessing.vtt	1.46 kB
42. Deep Learning - Preprocessing/3. Standardization.mp4	50.98 MB
42. Deep Learning - Preprocessing/3. Standardization.vtt	5.29 kB
42. Deep Learning - Preprocessing/4. Preprocessing Categorical Data.mp4	18.60 MB
42. Deep Learning - Preprocessing/4. Preprocessing Categorical Data.vtt	2.42 kB
42. Deep Learning - Preprocessing/5. Binary and One-Hot Encoding.mp4	28.95 MB
42. Deep Learning - Preprocessing/5. Binary and One-Hot Encoding.vtt	4.18 kB
43. Deep Learning - Classifying on the MNIST Dataset/1. MNIST What is the MNIST Dataset.mp4	17.82 MB
43. Deep Learning - Classifying on the MNIST Dataset/1. MNIST What is the MNIST Dataset.vtt	3.07 kB
43. Deep Learning - Classifying on the MNIST Dataset/10. MNIST Exercises.html	2.13 kB
43. Deep Learning - Classifying on the MNIST Dataset/10.1 TensorFlow MNIST All Exercises.html	144.00 B
43. Deep Learning - Classifying on the MNIST Dataset/11. MNIST Solutions.html	2.19 kB
43. Deep Learning - Classifying on the MNIST Dataset/11.1 TensorFlow MNIST 'Time' Solution.html	162.00 B
43. Deep Learning - Classifying on the MNIST Dataset/11.10 TensorFlow MNIST 'Around 98% Accuracy' Solution.html	157.00 B
43. Deep Learning - Classifying on the MNIST Dataset/11.11 TensorFlow MNIST '1. Width' Solution.html	150.00 B
43. Deep Learning - Classifying on the MNIST Dataset/11.2 TensorFlow MNIST '2. Depth' Solution.html	150.00 B
43. Deep Learning - Classifying on the MNIST Dataset/11.3 TensorFlow MNIST '7. Batch size (Part 2)' Solution.html	162.00 B
43. Deep Learning - Classifying on the MNIST Dataset/11.4 TensorFlow MNIST '3. Width and Depth' Solution.html	160.00 B
43. Deep Learning - Classifying on the MNIST Dataset/11.5 TensorFlow MNIST '5. Activation Functions (Part 2)' Solution.html	172.00 B
43. Deep Learning - Classifying on the MNIST Dataset/11.6 TensorFlow MNIST '8. Learning Rate (Part 1)' Solution.html	165.00 B
43. Deep Learning - Classifying on the MNIST Dataset/11.7 TensorFlow MNIST '6. Batch size (Part 1)' Solution.html	162.00 B
43. Deep Learning - Classifying on the MNIST Dataset/11.8 TensorFlow MNIST '4. Activation Functions (Part 1)' Solution.html	172.00 B
43. Deep Learning - Classifying on the MNIST Dataset/11.9 TensorFlow MNIST '9. Learning Rate (Part 2)' Solution.html	165.00 B
43. Deep Learning - Classifying on the MNIST Dataset/2. MNIST How to Tackle the MNIST.mp4	22.59 MB
43. Deep Learning - Classifying on the MNIST Dataset/2. MNIST How to Tackle the MNIST.vtt	3.17 kB
43. Deep Learning - Classifying on the MNIST Dataset/3. MNIST Relevant Packages.mp4	18.91 MB
43. Deep Learning - Classifying on the MNIST Dataset/3. MNIST Relevant Packages.vtt	1.89 kB
43. Deep Learning - Classifying on the MNIST Dataset/3.1 TensorFlow MNIST Part 1 with Comments.html	159.00 B
43. Deep Learning - Classifying on the MNIST Dataset/4. MNIST Model Outline.mp4	56.39 MB
43. Deep Learning - Classifying on the MNIST Dataset/4. MNIST Model Outline.vtt	7.91 kB
43. Deep Learning - Classifying on the MNIST Dataset/4.1 TensorFlow MNIST Part 2 with Comments.html	159.00 B
43. Deep Learning - Classifying on the MNIST Dataset/5. MNIST Loss and Optimization Algorithm.mp4	25.86 MB
43. Deep Learning - Classifying on the MNIST Dataset/5. MNIST Loss and Optimization Algorithm.vtt	3.09 kB
43. Deep Learning - Classifying on the MNIST Dataset/5.1 TensorFlow MNIST Part 3 with Comments.html	159.00 B
43. Deep Learning - Classifying on the MNIST Dataset/6. Calculating the Accuracy of the Model.mp4	43.90 MB
43. Deep Learning - Classifying on the MNIST Dataset/6. Calculating the Accuracy of the Model.vtt	4.51 kB
43. Deep Learning - Classifying on the MNIST Dataset/6.1 TensorFlow MNIST Part 4 with Comments.html	159.00 B
43. Deep Learning - Classifying on the MNIST Dataset/7. MNIST Batching and Early Stopping.mp4	12.86 MB
43. Deep Learning - Classifying on the MNIST Dataset/7. MNIST Batching and Early Stopping.vtt	2.56 kB
43. Deep Learning - Classifying on the MNIST Dataset/7.1 TensorFlow MNIST Part 5 with Comments.html	159.00 B
43. Deep Learning - Classifying on the MNIST Dataset/8. MNIST Learning.mp4	46.69 MB
43. Deep Learning - Classifying on the MNIST Dataset/8. MNIST Learning.vtt	8.89 kB
43. Deep Learning - Classifying on the MNIST Dataset/8.1 TensorFlow MNIST Part 6 with Comments.html	159.00 B
43. Deep Learning - Classifying on the MNIST Dataset/9. MNIST Results and Testing.mp4	62.77 MB
43. Deep Learning - Classifying on the MNIST Dataset/9. MNIST Results and Testing.vtt	7.15 kB
43. Deep Learning - Classifying on the MNIST Dataset/9.1 TensorFlow MNIST Complete Code with Comments.html	152.00 B
44. Deep Learning - Business Case Example/1. Business Case Getting acquainted with the dataset.mp4	87.66 MB
44. Deep Learning - Business Case Example/1. Business Case Getting acquainted with the dataset.vtt	9.37 kB
44. Deep Learning - Business Case Example/1.1 Audiobooks_data.csv.csv	710.77 kB
44. Deep Learning - Business Case Example/10. Business Case Testing the Model.mp4	11.21 MB
44. Deep Learning - Business Case Example/10. Business Case Testing the Model.vtt	2.36 kB
44. Deep Learning - Business Case Example/11. Business Case A Comment on the Homework.mp4	36.38 MB
44. Deep Learning - Business Case Example/11. Business Case A Comment on the Homework.vtt	4.65 kB
44. Deep Learning - Business Case Example/11.1 TensorFlow Business Case Homework.html	134.00 B
44. Deep Learning - Business Case Example/12. Business Case Final Exercise.html	439.00 B
44. Deep Learning - Business Case Example/12.1 TensorFlow Business Case Homework.html	134.00 B
44. Deep Learning - Business Case Example/2. Business Case Outlining the Solution.mp4	12.21 MB
44. Deep Learning - Business Case Example/2. Business Case Outlining the Solution.vtt	2.19 kB
44. Deep Learning - Business Case Example/3. The Importance of Working with a Balanced Dataset.mp4	39.41 MB
44. Deep Learning - Business Case Example/3. The Importance of Working with a Balanced Dataset.vtt	3.91 kB
44. Deep Learning - Business Case Example/4. Business Case Preprocessing.mp4	103.41 MB
44. Deep Learning - Business Case Example/4. Business Case Preprocessing.vtt	11.71 kB
44. Deep Learning - Business Case Example/4.1 Audiobooks Preprocessing.html	134.00 B
44. Deep Learning - Business Case Example/5. Business Case Preprocessing Exercise.html	383.00 B
44. Deep Learning - Business Case Example/5.1 Preprocessing Exercise.html	134.00 B
44. Deep Learning - Business Case Example/6. Creating a Data Provider.mp4	76.34 MB
44. Deep Learning - Business Case Example/6. Creating a Data Provider.vtt	6.80 kB
44. Deep Learning - Business Case Example/6.1 Creating a Data Provider (Class).html	134.00 B
44. Deep Learning - Business Case Example/7. Business Case Model Outline.mp4	53.12 MB
44. Deep Learning - Business Case Example/7. Business Case Model Outline.vtt	6.07 kB
44. Deep Learning - Business Case Example/7.1 TensorFlow Business Case Model Outline.html	134.00 B
44. Deep Learning - Business Case Example/8. Business Case Optimization.mp4	41.53 MB
44. Deep Learning - Business Case Example/8. Business Case Optimization.vtt	5.76 kB
44. Deep Learning - Business Case Example/8.1 TensorFlow Business Case Optimization.html	134.00 B
44. Deep Learning - Business Case Example/9. Business Case Interpretation.mp4	25.74 MB
44. Deep Learning - Business Case Example/9. Business Case Interpretation.vtt	2.60 kB
44. Deep Learning - Business Case Example/9.1 TensorFlow Business Case Interpretation.html	134.00 B
45. Deep Learning - Conclusion/1. Summary on What You've Learned.mp4	39.75 MB
45. Deep Learning - Conclusion/1. Summary on What You've Learned.vtt	4.61 kB
45. Deep Learning - Conclusion/2. What's Further out there in terms of Machine Learning.mp4	20.12 MB
45. Deep Learning - Conclusion/2. What's Further out there in terms of Machine Learning.vtt	2.27 kB
45. Deep Learning - Conclusion/3. An overview of CNNs.mp4	58.79 MB
45. Deep Learning - Conclusion/3. An overview of CNNs.vtt	5.66 kB
45. Deep Learning - Conclusion/4. DeepMind and Deep Learning.html	1.05 kB
45. Deep Learning - Conclusion/5. An Overview of RNNs.mp4	25.26 MB
45. Deep Learning - Conclusion/5. An Overview of RNNs.vtt	3.30 kB
45. Deep Learning - Conclusion/6. An Overview of non-NN Approaches.mp4	44.77 MB
45. Deep Learning - Conclusion/6. An Overview of non-NN Approaches.vtt	4.56 kB
45. Deep Learning - Conclusion/7. Download All Resources.html	458.00 B
46. Software Integration/1. What are Data, Servers, Clients, Requests, and Responses.mp4	69.03 MB
46. Software Integration/1. What are Data, Servers, Clients, Requests, and Responses.vtt	5.20 kB
46. Software Integration/10. Software Integration - Explained.html	161.00 B
46. Software Integration/2. What are Data, Servers, Clients, Requests, and Responses.html	161.00 B
46. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4	104.09 MB
46. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.vtt	7.56 kB
46. Software Integration/4. What are Data Connectivity, APIs, and Endpoints.html	161.00 B
46. Software Integration/5. Taking a Closer Look at APIs.mp4	115.60 MB
46. Software Integration/5. Taking a Closer Look at APIs.vtt	9.15 kB
46. Software Integration/6. Taking a Closer Look at APIs.html	161.00 B
46. Software Integration/7. Communication between Software Products through Text Files.mp4	60.35 MB
46. Software Integration/7. Communication between Software Products through Text Files.vtt	4.80 kB
46. Software Integration/8. Communication between Software Products through Text Files.html	161.00 B
46. Software Integration/9. Software Integration - Explained.mp4	72.64 MB
46. Software Integration/9. Software Integration - Explained.vtt	6.00 kB
47. Case Study - What's Next in the Course/1. Game Plan for this Python, SQL, and Tableau Business Exercise.mp4	52.30 MB
47. Case Study - What's Next in the Course/1. Game Plan for this Python, SQL, and Tableau Business Exercise.vtt	4.80 kB
47. Case Study - What's Next in the Course/2. The Business Task.mp4	39.15 MB
47. Case Study - What's Next in the Course/2. The Business Task.vtt	3.30 kB
47. Case Study - What's Next in the Course/3. Introducing the Data Set.mp4	40.87 MB
47. Case Study - What's Next in the Course/3. Introducing the Data Set.vtt	3.66 kB
47. Case Study - What's Next in the Course/4. Introducing the Data Set.html	161.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/1. What to Expect from the Following Sections.html	2.48 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/1.1 data_preprocessing_homework.pdf.pdf	134.47 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/1.2 df_preprocessed.csv.csv	29.11 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/1.3 Absenteeism_data.csv.csv	32.05 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/10. Analyzing the Reasons for Absence.mp4	40.58 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/10. Analyzing the Reasons for Absence.vtt	5.12 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/11. Obtaining Dummies from a Single Feature.mp4	81.11 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/11. Obtaining Dummies from a Single Feature.vtt	8.96 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/12. EXERCISE - Obtaining Dummies from a Single Feature.html	129.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/13. SOLUTION - Obtaining Dummies from a Single Feature.html	116.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/14. Dropping a Dummy Variable from the Data Set.html	2.34 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/15. More on Dummy Variables A Statistical Perspective.mp4	13.75 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/15. More on Dummy Variables A Statistical Perspective.vtt	1.50 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/16. Classifying the Various Reasons for Absence.mp4	74.61 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/16. Classifying the Various Reasons for Absence.vtt	8.79 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/17. Using .concat() in Python.mp4	38.74 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/17. Using .concat() in Python.vtt	4.42 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/18. EXERCISE - Using .concat() in Python.html	189.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/19. SOLUTION - Using .concat() in Python.html	142.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/2. Importing the Absenteeism Data in Python.mp4	23.15 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/2. Importing the Absenteeism Data in Python.vtt	3.48 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/20. Reordering Columns in a Pandas DataFrame in Python.mp4	14.01 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/20. Reordering Columns in a Pandas DataFrame in Python.vtt	1.61 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/21. EXERCISE - Reordering Columns in a Pandas DataFrame in Python.html	167.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/22. SOLUTION - Reordering Columns in a Pandas DataFrame in Python.html	462.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/23. Creating Checkpoints while Coding in Jupyter.mp4	25.68 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/23. Creating Checkpoints while Coding in Jupyter.vtt	3.21 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/23.1 Creating Checkpoints.html	181.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/24. EXERCISE - Creating Checkpoints while Coding in Jupyter.html	137.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/25. SOLUTION - Creating Checkpoints while Coding in Jupyter.html	117.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/26. Analyzing the Dates from the Initial Data Set.mp4	57.29 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/26. Analyzing the Dates from the Initial Data Set.vtt	7.44 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/27. Extracting the Month Value from the Date Column.mp4	47.79 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/27. Extracting the Month Value from the Date Column.vtt	6.95 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/28. Extracting the Day of the Week from the Date Column.mp4	27.97 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/28. Extracting the Day of the Week from the Date Column.vtt	3.91 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/29. EXERCISE - Removing the Date Column.html	1.21 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/29.1 Preprocessing.html	181.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/29.2 Removing the “Date” Column.html	188.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/3. Checking the Content of the Data Set.mp4	61.91 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/3. Checking the Content of the Data Set.vtt	6.16 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/30. Analyzing Several Straightforward Columns for this Exercise.mp4	29.51 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/30. Analyzing Several Straightforward Columns for this Exercise.vtt	3.82 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/31. Working on Education, Children, and Pets.mp4	39.59 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/31. Working on Education, Children, and Pets.vtt	4.98 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/32. Final Remarks of this Section.mp4	21.63 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/32. Final Remarks of this Section.vtt	2.20 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/32.1 Preprocessing.html	156.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/32.2 Exercises and solutions.html	170.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/4. Introduction to Terms with Multiple Meanings.mp4	27.86 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/4. Introduction to Terms with Multiple Meanings.vtt	3.60 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/5. What's Regression Analysis - a Quick Refresher.html	2.84 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/6. Using a Statistical Approach towards the Solution to the Exercise.mp4	20.18 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/6. Using a Statistical Approach towards the Solution to the Exercise.vtt	2.46 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/7. Dropping a Column from a DataFrame in Python.mp4	61.77 MB
48. Case Study - Preprocessing the 'Absenteeism_data'/7. Dropping a Column from a DataFrame in Python.vtt	6.81 kB
48. Case Study - Preprocessing the 'Absenteeism_data'/8. EXERCISE - Dropping a Column from a DataFrame in Python.html	866.00 B
48. Case Study - Preprocessing the 'Absenteeism_data'/9. SOLUTION - Dropping a Column from a DataFrame in Python.html	113.00 B
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1. Exploring the Problem with a Machine Learning Mindset.mp4	27.54 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1. Exploring the Problem with a Machine Learning Mindset.vtt	4.02 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1.1 Absenteeism_preprocessed.csv.csv	29.13 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/10. Interpreting the Coefficients of the Logistic Regression.mp4	40.41 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/10. Interpreting the Coefficients of the Logistic Regression.vtt	6.34 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11. Backward Elimination or How to Simplify Your Model.mp4	39.56 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11. Backward Elimination or How to Simplify Your Model.vtt	4.58 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11.1 Logistic Regression prior to Backward Elimination.html	226.00 B
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/12. Testing the Model We Created.mp4	49.06 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/12. Testing the Model We Created.vtt	5.67 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/13. Saving the Model and Preparing it for Deployment.mp4	37.46 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/13. Saving the Model and Preparing it for Deployment.vtt	4.88 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/14. ARTICLE - A Note on 'pickling'.html	2.14 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15. EXERCISE - Saving the Model (and Scaler).html	284.00 B
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15.1 Logistic Regression.html	196.00 B
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15.2 Logistic Regression with Comments.html	210.00 B
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/16. Preparing the Deployment of the Model through a Module.mp4	44.49 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/16. Preparing the Deployment of the Model through a Module.vtt	4.90 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/2. Creating the Targets for the Logistic Regression.mp4	45.80 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/2. Creating the Targets for the Logistic Regression.vtt	7.36 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/3. Selecting the Inputs for the Logistic Regression.mp4	16.76 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/3. Selecting the Inputs for the Logistic Regression.vtt	3.14 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/4. Standardizing the Data.mp4	20.60 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/4. Standardizing the Data.vtt	3.68 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/5. Splitting the Data for Training and Testing.mp4	52.76 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/5. Splitting the Data for Training and Testing.vtt	7.07 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/6. Fitting the Model and Assessing its Accuracy.mp4	41.62 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/6. Fitting the Model and Assessing its Accuracy.vtt	6.41 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/7. Creating a Summary Table with the Coefficients and Intercept.mp4	38.88 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/7. Creating a Summary Table with the Coefficients and Intercept.vtt	5.77 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/8. Interpreting the Coefficients for Our Problem.mp4	52.38 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/8. Interpreting the Coefficients for Our Problem.vtt	6.93 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/9. Standardizing only the Numerical Variables (Creating a Custom Scaler).mp4	41.20 MB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/9. Standardizing only the Numerical Variables (Creating a Custom Scaler).vtt	4.41 kB
49. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/9.1 Logistic Regression prior to Custom Scaler.html	219.00 B
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4	138.31 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.vtt	138.31 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4	123.51 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.vtt	9.66 kB
5. The Field of Data Science - Popular Data Science Techniques/11. Techniques for Working with Traditional Methods.html	161.00 B
5. The Field of Data Science - Popular Data Science Techniques/12. Real Life Examples of Traditional Methods.mp4	42.78 MB
5. The Field of Data Science - Popular Data Science Techniques/12. Real Life Examples of Traditional Methods.vtt	3.14 kB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4	99.33 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.vtt	7.67 kB
5. The Field of Data Science - Popular Data Science Techniques/14. Machine Learning (ML) Techniques.html	161.00 B
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4	125.15 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.vtt	9.23 kB
5. The Field of Data Science - Popular Data Science Techniques/16. Types of Machine Learning.html	161.00 B
5. The Field of Data Science - Popular Data Science Techniques/17. Real Life Examples of Machine Learning (ML).mp4	36.81 MB
5. The Field of Data Science - Popular Data Science Techniques/17. Real Life Examples of Machine Learning (ML).vtt	2.57 kB
5. The Field of Data Science - Popular Data Science Techniques/18. Real Life Examples of Machine Learning (ML).html	161.00 B
5. The Field of Data Science - Popular Data Science Techniques/2. Techniques for Working with Traditional Data.html	161.00 B
5. The Field of Data Science - Popular Data Science Techniques/3. Real Life Examples of Traditional Data.mp4	29.94 MB
5. The Field of Data Science - Popular Data Science Techniques/3. Real Life Examples of Traditional Data.vtt	1.97 kB
5. The Field of Data Science - Popular Data Science Techniques/4. Techniques for Working with Big Data.mp4	75.51 MB
5. The Field of Data Science - Popular Data Science Techniques/4. Techniques for Working with Big Data.vtt	4.96 kB
5. The Field of Data Science - Popular Data Science Techniques/5. Techniques for Working with Big Data.html	161.00 B
5. The Field of Data Science - Popular Data Science Techniques/6. Real Life Examples of Big Data.mp4	22.03 MB
5. The Field of Data Science - Popular Data Science Techniques/6. Real Life Examples of Big Data.vtt	1.64 kB
5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4	89.95 MB
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50. Case Study - Loading the 'absenteeism_module'/1.1 5 Files Needed to Deploy the Model.html	134.00 B
50. Case Study - Loading the 'absenteeism_module'/2. Deploying the 'absenteeism_module' - Part I.mp4	25.49 MB
50. Case Study - Loading the 'absenteeism_module'/2. Deploying the 'absenteeism_module' - Part I.vtt	4.20 kB
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51. Case Study - Analyzing the Predicted Outputs in Tableau/1. EXERCISE - Age vs Probability.html	385.00 B
51. Case Study - Analyzing the Predicted Outputs in Tableau/2. Analyzing Age vs Probability in Tableau.mp4	56.55 MB
51. Case Study - Analyzing the Predicted Outputs in Tableau/2. Analyzing Age vs Probability in Tableau.vtt	8.75 kB
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51. Case Study - Analyzing the Predicted Outputs in Tableau/4. Analyzing Reasons vs Probability in Tableau.mp4	59.34 MB
51. Case Study - Analyzing the Predicted Outputs in Tableau/4. Analyzing Reasons vs Probability in Tableau.vtt	8.37 kB
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9. Part 2 Statistics/1. Population and Sample.vtt	4.81 kB
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[FreeCourseLab.com].url	126.00 B

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