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Detalhes do Torrent Para "Udemy - Machine Learning Basics- Building Regression Model in Python"

Udemy - Machine Learning Basics- Building Regression Model in Python

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Concluído: 95
Última verificado: 13-07-2019 13:34:01

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Nome:	Udemy - Machine Learning Basics- Building Regression Model in Python
Description: Machine Learning Basics: Building Regression Model in Python MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning \| Language: English + .VTT \| Duration: 7.5 hour \| Size: 2.65 GB Learn how to build a regression model in Python from scratch. Course covers all key concepts from basic to advanced. What you'll learn Knowledge of Linear regression technique How to run linear regression in Python Preparing the data before training any model Requirements Just a PC with any web browser If you like this torrent then Please, we repeat, Please, Support Authors. They Deserve it
Video YouTube:
Categoria:	Tutorials
Idioma:	English
Total Size:	2.66 GB
Informações Hash:	914B049C271A77AB99370BD3E82C7C2E8ED6B17D
Adicionado por:	FreeCourseWeb
Data adicionada:	2019-03-16 16:43:44
Torrent Status:	Torrent Verified by SaM on 16th March, 2019

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Lista de arquivos:

Arquivo	Tamanho
1. Introduction/1. Welcome to the course!.mp4	16.27 MB
1. Introduction/1. Welcome to the course!.vtt	2.63 kB
1. Introduction/2. Course contents.mp4	47.85 MB
2. Basics of Statistics/1. Types of Data.mp4	25.86 MB
2. Basics of Statistics/1. Types of Data.vtt	4.32 kB
2. Basics of Statistics/2. Types of Statistics.mp4	13.23 MB
2. Basics of Statistics/2. Types of Statistics.vtt	2.68 kB
2. Basics of Statistics/3. Describing data Graphically.mp4	82.20 MB
2. Basics of Statistics/3. Describing data Graphically.vtt	11.30 kB
2. Basics of Statistics/4. Measures of Centers.mp4	45.67 MB
2. Basics of Statistics/4. Measures of Centers.vtt	6.42 kB
2. Basics of Statistics/5. Practice Exercise 1.html	357.00 B
2. Basics of Statistics/5.1 Exercise 1.pdf.pdf	553.83 kB
2. Basics of Statistics/6. Measures of Dispersion.mp4	28.38 MB
2. Basics of Statistics/6. Measures of Dispersion.vtt	4.72 kB
2. Basics of Statistics/7. Practice Exercise 2.html	300.00 B
2. Basics of Statistics/7.1 Exercise 2.pdf.pdf	469.93 kB
3. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4	18.61 MB
3. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.vtt	2.25 kB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4	73.07 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.vtt	7.98 kB
3. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4	51.30 MB
3. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.vtt	10.77 kB
3. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp4	15.92 MB
3. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.vtt	3.50 kB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4	80.63 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.vtt	14.30 kB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4	73.67 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.vtt	14.62 kB
3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4	54.12 MB
3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.vtt	9.12 kB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4	56.46 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.vtt	7.24 kB
3. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4	48.87 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4	123.89 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.vtt	16.30 kB
4. Introduction to Machine Learning/2. Building a Machine Learning Model.mp4	45.26 MB
4. Introduction to Machine Learning/2. Building a Machine Learning Model.vtt	8.59 kB
4. Introduction to Machine Learning/3. Introduction to Machine learning quiz.html	166.00 B
5. Data Preprocessing/1. Gathering Business Knowledge.mp4	25.11 MB
5. Data Preprocessing/1. Gathering Business Knowledge.vtt	3.45 kB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4	86.57 MB
5. Data Preprocessing/10. Outlier Treatment in Python.vtt	11.17 kB
5. Data Preprocessing/11. Project Exercise 3.html	233.00 B
5. Data Preprocessing/12. Missing Value Imputation.mp4	27.56 MB
5. Data Preprocessing/12. Missing Value Imputation.vtt	3.61 kB
5. Data Preprocessing/13. Missing Value Imputation in Python.mp4	28.59 MB
5. Data Preprocessing/13. Missing Value Imputation in Python.vtt	3.57 kB
5. Data Preprocessing/14. Project Exercise 4.html	238.00 B
5. Data Preprocessing/15. Seasonality in Data.mp4	20.89 MB
5. Data Preprocessing/15. Seasonality in Data.vtt	3.30 kB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4	113.73 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.vtt	16.09 kB
5. Data Preprocessing/17. Variable transformation and deletion in Python.mp4	53.40 MB
5. Data Preprocessing/17. Variable transformation and deletion in Python.vtt	6.49 kB
5. Data Preprocessing/18. Project Exercise 5.html	285.00 B
5. Data Preprocessing/19. Non-usable variables.mp4	23.94 MB
5. Data Preprocessing/19. Non-usable variables.vtt	4.80 kB
5. Data Preprocessing/2. Data Exploration.mp4	23.41 MB
5. Data Preprocessing/2. Data Exploration.vtt	3.21 kB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4	40.62 MB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.vtt	4.31 kB
5. Data Preprocessing/21. Dummy variable creation in Python.mp4	33.89 MB
5. Data Preprocessing/21. Dummy variable creation in Python.vtt	4.76 kB
5. Data Preprocessing/22. Project Exercise 6.html	202.00 B
5. Data Preprocessing/23. Correlation Analysis.mp4	81.30 MB
5. Data Preprocessing/23. Correlation Analysis.vtt	9.75 kB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4	68.02 MB
5. Data Preprocessing/24. Correlation Analysis in Python.vtt	5.81 kB
5. Data Preprocessing/25. Project Exercise 7.html	288.00 B
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4	78.58 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.vtt	6.89 kB
5. Data Preprocessing/3.1 House_Price.csv.csv	53.49 kB
5. Data Preprocessing/4. Importing Data in Python.mp4	32.46 MB
5. Data Preprocessing/4. Importing Data in Python.vtt	4.89 kB
5. Data Preprocessing/4.1 House_Price.csv.csv	53.49 kB
5. Data Preprocessing/5. Project exercise 1.html	431.00 B
5. Data Preprocessing/5.1 Movie_collection_train.csv.csv	43.31 kB
5. Data Preprocessing/6. Univariate analysis and EDD.mp4	27.29 MB
5. Data Preprocessing/6. Univariate analysis and EDD.vtt	3.10 kB
5. Data Preprocessing/7. EDD in Python.mp4	75.07 MB
5. Data Preprocessing/7. EDD in Python.vtt	9.00 kB
5. Data Preprocessing/8. Project Exercise 2.html	177.00 B
5. Data Preprocessing/9. Outlier Treatment.mp4	27.78 MB
5. Data Preprocessing/9. Outlier Treatment.vtt	3.99 kB
6. Linear Regression/1. The Problem Statement.mp4	10.68 MB
6. Linear Regression/1. The Problem Statement.vtt	1.44 kB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4	88.13 MB
6. Linear Regression/10. Multiple Linear Regression in Python.vtt	10.81 kB
6. Linear Regression/11. Project Exercise 9.html	327.00 B
6. Linear Regression/12. Test-train split.mp4	49.13 MB
6. Linear Regression/13. Bias Variance trade-off.mp4	29.59 MB
6. Linear Regression/14. Test train split in Python.mp4	57.77 MB
6. Linear Regression/15. Linear models other than OLS.mp4	19.18 MB
6. Linear Regression/15. Linear models other than OLS.vtt	3.87 kB
6. Linear Regression/16. Subset selection techniques.mp4	87.14 MB
6. Linear Regression/16. Subset selection techniques.vtt	11.24 kB
6. Linear Regression/17. Shrinkage methods Ridge and Lasso.mp4	38.64 MB
6. Linear Regression/17. Shrinkage methods Ridge and Lasso.vtt	7.18 kB
6. Linear Regression/18. Ridge regression and Lasso in Python.mp4	156.63 MB
6. Linear Regression/19. Project Exercise 10.html	424.00 B
6. Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4	50.26 MB
6. Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.vtt	8.74 kB
6. Linear Regression/20. Final Project Exercise.html	301.00 B
6. Linear Regression/20.1 Movie_collection_test.csv.csv	11.72 kB
6. Linear Regression/21. Course Conclusion.html	1.63 kB
6. Linear Regression/3. Simple Linear Regression in Python.mp4	78.63 MB
6. Linear Regression/3. Simple Linear Regression in Python.vtt	9.82 kB
6. Linear Regression/4. Project Exercise 8.html	322.00 B
6. Linear Regression/5. Assessing accuracy of predicted coefficients.mp4	104.41 MB
6. Linear Regression/5. Assessing accuracy of predicted coefficients.vtt	13.99 kB
6. Linear Regression/6. Assessing Model Accuracy RSE and R squared.mp4	49.71 MB
6. Linear Regression/6. Assessing Model Accuracy RSE and R squared.vtt	7.06 kB
6. Linear Regression/7. Multiple Linear Regression.mp4	38.90 MB
6. Linear Regression/7. Multiple Linear Regression.vtt	5.08 kB
6. Linear Regression/8. The F - statistic.mp4	64.12 MB
6. Linear Regression/8. The F - statistic.vtt	7.98 kB
6. Linear Regression/9. Interpreting results of Categorical variables.mp4	27.13 MB
6. Linear Regression/9. Interpreting results of Categorical variables.vtt	4.68 kB
How to Support [ FreeCourseWeb.com ] for Free.txt	323.00 B
Torrent Downloaded From GloDls.to.txt	84.00 B
[ FreeCourseWeb.com ] Support Us.url	173.00 B

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Udemy - Machine Learning Basics- Building Regression Model in Python