Udemy - Data Science with Python

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Nome:	Udemy - Data Science with Python
Descrizione: Data visualization is understanding the significance of data by placing it in a visual context. Patterns, trends that might go unnoticed in text-based data can be exposed and recognized easier with data visualization software. It basically involves presentation of data in a pictorial or graphical format. Through this training we are going to learn how to use Python to create fascinating data visualizations. The training includes the following; 1. Introduction to Data Visualization 2. Development Setup 3. Language Learning Bridge between Python and JS 4. Reading and Writing Data with Python 5. Webdev 101
YouTube Video:
Categoria:	Tutorials
Lingua:	English
Dimensione totale:	1.27 GB
Info Hash:	F37AC13E932A9F97EB0872EE2C2414718BE16ED7
Aggiunto di:	fclab16
Data di aggiunta:	2018-11-03 04:35:06
Stato torrent:	Torrent Verified

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File List:

File	Dimensione
1. Introduction/1. Introduction to Data Visualization.mp4	17.02 MB
1. Introduction/1. Introduction to Data Visualization.vtt	4.82 kB
2. What is Data Science/1. Understanding Data Science.mp4	17.99 MB
2. What is Data Science/1. Understanding Data Science.vtt	5.80 kB
2. What is Data Science/2. Python Environment Framework.mp4	27.52 MB
2. What is Data Science/2. Python Environment Framework.vtt	4.91 kB
2. What is Data Science/3. Various Python Scripts.mp4	28.71 MB
2. What is Data Science/3. Various Python Scripts.vtt	6.43 kB
3. Advanced Python/1. Concept of Advanced Python.mp4	26.51 MB
3. Advanced Python/1. Concept of Advanced Python.vtt	6.22 kB
3. Advanced Python/2. Creating Functions for Python.mp4	23.60 MB
3. Advanced Python/2. Creating Functions for Python.vtt	4.41 kB
3. Advanced Python/3. Creating a New Library.mp4	22.83 MB
3. Advanced Python/3. Creating a New Library.vtt	4.67 kB
3. Advanced Python/4. Creating Bar Charts.mp4	38.97 MB
3. Advanced Python/4. Creating Bar Charts.vtt	7.63 kB
3. Advanced Python/5. Analysis on Line Chart.mp4	30.30 MB
3. Advanced Python/5. Analysis on Line Chart.vtt	5.56 kB
3. Advanced Python/6. Understanding Scattered Plots.mp4	35.10 MB
3. Advanced Python/6. Understanding Scattered Plots.vtt	5.72 kB
4. Linear Algebra/1. Vector Spaces in Linear Algebra.mp4	35.45 MB
4. Linear Algebra/1. Vector Spaces in Linear Algebra.vtt	6.36 kB
4. Linear Algebra/2. Matrices in Linear Algebra.mp4	52.98 MB
4. Linear Algebra/2. Matrices in Linear Algebra.vtt	9.97 kB
4. Linear Algebra/3. Analysing Statistical Data.mp4	29.10 MB
4. Linear Algebra/3. Analysing Statistical Data.vtt	6.03 kB
4. Linear Algebra/4. Understanding Central Tendencies.mp4	62.96 MB
4. Linear Algebra/4. Understanding Central Tendencies.vtt	9.76 kB
4. Linear Algebra/5. Dispersion for Data.mp4	34.34 MB
4. Linear Algebra/5. Dispersion for Data.vtt	5.28 kB
5. Probability/1. Probability in Discreet Mathematics.mp4	20.58 MB
5. Probability/1. Probability in Discreet Mathematics.vtt	4.25 kB
5. Probability/10. Line of Best Fit.mp4	30.57 MB
5. Probability/10. Line of Best Fit.vtt	4.25 kB
5. Probability/11. Datascience with Gradient Descent.mp4	13.80 MB
5. Probability/11. Datascience with Gradient Descent.vtt	3.74 kB
5. Probability/12. Example on Gradient Descent.mp4	31.69 MB
5. Probability/12. Example on Gradient Descent.vtt	4.84 kB
5. Probability/2. Normal Distribution Curve.mp4	43.69 MB
5. Probability/2. Normal Distribution Curve.vtt	6.68 kB
5. Probability/3. Example for Normal Distribution Curve.mp4	32.54 MB
5. Probability/3. Example for Normal Distribution Curve.vtt	5.13 kB
5. Probability/4. Central Limit Theorem.mp4	36.85 MB
5. Probability/4. Central Limit Theorem.vtt	6.19 kB
5. Probability/5. Concept of Hypothesis.mp4	26.20 MB
5. Probability/5. Concept of Hypothesis.vtt	4.08 kB
5. Probability/6. Example on Hypothesis Testing.mp4	49.32 MB
5. Probability/6. Example on Hypothesis Testing.vtt	6.49 kB
5. Probability/7. Defining the Next Value.mp4	59.61 MB
5. Probability/7. Defining the Next Value.vtt	7.62 kB
5. Probability/8. Principle of P Hacking.mp4	27.36 MB
5. Probability/8. Principle of P Hacking.vtt	4.28 kB
5. Probability/9. Understanding Bayesian Inference.mp4	27.87 MB
5. Probability/9. Understanding Bayesian Inference.vtt	5.05 kB
6. Gradient Descent/1. Value Import.mp4	58.82 MB
6. Gradient Descent/1. Value Import.vtt	6.06 kB
6. Gradient Descent/2. Output Functions for Gradient.mp4	51.69 MB
6. Gradient Descent/2. Output Functions for Gradient.vtt	5.50 kB
6. Gradient Descent/3. Working with Data Analysis.mp4	56.17 MB
6. Gradient Descent/3. Working with Data Analysis.vtt	8.37 kB
6. Gradient Descent/4. Creating Normal Histogram.mp4	64.95 MB
6. Gradient Descent/4. Creating Normal Histogram.vtt	6.41 kB
6. Gradient Descent/5. Two Dimensional Graph.mp4	49.08 MB
6. Gradient Descent/5. Two Dimensional Graph.vtt	5.61 kB
6. Gradient Descent/6. Multiple Scatter Plots.mp4	45.54 MB
6. Gradient Descent/6. Multiple Scatter Plots.vtt	5.97 kB
6. Gradient Descent/7. Analyzing Data Sets.mp4	34.61 MB
6. Gradient Descent/7. Analyzing Data Sets.vtt	5.50 kB
6. Gradient Descent/8. Learnig Box Plots.mp4	39.86 MB
6. Gradient Descent/8. Learnig Box Plots.vtt	5.65 kB
7. Conclusion/1. Overview and Conclusion.mp4	12.99 MB
7. Conclusion/1. Overview and Conclusion.vtt	3.99 kB
[FreeCourseLab.com].url	126.00 B

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Udemy - Data Science with Python