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FTUForum com UDEMY Machine Learning Basics Building Regression Model in Python FTU

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[FTUForum.com] [UDEMY] Machine Learning Basics Building Regression Model in Python [FTU]

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Total Size

3.0 GB

Total Files

125

Hash

9D1AC7B3551F437C84BC0620165919088ABA8C60

/1. Introduction/

1. Welcome to the course!.mp4

21.6 MB

1. Welcome to the course!.vtt

2.7 KB

2. Course contents.mp4

67.0 MB

/2. Basics of Statistics/

1. Types of Data.mp4

27.1 MB

1. Types of Data.vtt

4.4 KB

2. Types of Statistics.mp4

13.9 MB

2. Types of Statistics.vtt

2.7 KB

3. Describing data Graphically.mp4

86.2 MB

3. Describing data Graphically.vtt

11.6 KB

4. Measures of Centers.mp4

47.9 MB

4. Measures of Centers.vtt

6.6 KB

5.1 Exercise 1.pdf.pdf

567.1 KB

5. Practice Exercise 1.html

0.4 KB

6. Measures of Dispersion.mp4

29.8 MB

6. Measures of Dispersion.vtt

4.8 KB

7.1 Exercise 2.pdf.pdf

481.2 KB

7. Practice Exercise 2.html

0.3 KB

/3. Setting up Python and Jupyter Notebook/

1. Installing Python and Anaconda.mp4

19.5 MB

1. Installing Python and Anaconda.vtt

2.3 KB

2. Opening Jupyter Notebook.mp4

76.6 MB

2. Opening Jupyter Notebook.vtt

8.2 KB

3. Introduction to Jupyter.mp4

53.8 MB

3. Introduction to Jupyter.vtt

11.0 KB

4. Arithmetic operators in Python Python Basics.mp4

16.7 MB

4. Arithmetic operators in Python Python Basics.vtt

3.6 KB

5. Strings in Python Python Basics.mp4

84.5 MB

5. Strings in Python Python Basics.vtt

14.6 KB

6. Lists, Tuples and Directories Python Basics.mp4

77.3 MB

6. Lists, Tuples and Directories Python Basics.vtt

15.0 KB

7. Working with Numpy Library of Python.mp4

56.8 MB

7. Working with Numpy Library of Python.vtt

9.3 KB

8. Working with Panda Library of Python.mp4

59.2 MB

8. Working with Panda Library of Python.vtt

7.4 KB

9. Working with Seaborn Library of Python.mp4

51.2 MB

/4. Introduction to Machine Learning/

1. Introduction to Machine Learning.mp4

129.9 MB

1. Introduction to Machine Learning.vtt

16.7 KB

2. Building a Machine Learning Model.mp4

47.5 MB

2. Building a Machine Learning Model.vtt

8.8 KB

3. Introduction to Machine learning quiz.html

0.2 KB

/5. Data Preprocessing/

10. Outlier Treatment in Python.mp4

90.8 MB

10. Outlier Treatment in Python.vtt

11.4 KB

11. Project Exercise 3.html

0.2 KB

12. Missing Value Imputation.mp4

28.9 MB

12. Missing Value Imputation.vtt

3.7 KB

13. Missing Value Imputation in Python.mp4

30.0 MB

13. Missing Value Imputation in Python.vtt

3.7 KB

14. Project Exercise 4.html

0.2 KB

15. Seasonality in Data.mp4

21.9 MB

15. Seasonality in Data.vtt

3.4 KB

16. Bi-variate analysis and Variable transformation.mp4

119.3 MB

16. Bi-variate analysis and Variable transformation.vtt

16.5 KB

17. Variable transformation and deletion in Python.mp4

56.0 MB

17. Variable transformation and deletion in Python.vtt

6.6 KB

18. Project Exercise 5.html

0.3 KB

19. Non-usable variables.mp4

25.1 MB

19. Non-usable variables.vtt

4.9 KB

1. Gathering Business Knowledge.mp4

26.3 MB

1. Gathering Business Knowledge.vtt

3.5 KB

20. Dummy variable creation Handling qualitative data.mp4

42.6 MB

20. Dummy variable creation Handling qualitative data.vtt

4.4 KB

21. Dummy variable creation in Python.mp4

35.5 MB

21. Dummy variable creation in Python.vtt

4.9 KB

22. Project Exercise 6.html

0.2 KB

23. Correlation Analysis.mp4

85.2 MB

23. Correlation Analysis.vtt

10.0 KB

24. Correlation Analysis in Python.mp4

71.3 MB

24. Correlation Analysis in Python.vtt

6.0 KB

25. Project Exercise 7.html

0.3 KB

2. Data Exploration.mp4

24.5 MB

2. Data Exploration.vtt

3.3 KB

3.1 House_Price.csv.csv

54.8 KB

3. The Dataset and the Data Dictionary.mp4

82.4 MB

3. The Dataset and the Data Dictionary.vtt

7.1 KB

4.1 House_Price.csv.csv

54.8 KB

4. Importing Data in Python.mp4

34.0 MB

4. Importing Data in Python.vtt

5.0 KB

5.1 Movie_collection_train.csv.csv

44.4 KB

5. Project exercise 1.html

0.4 KB

6. Univariate analysis and EDD.mp4

28.6 MB

6. Univariate analysis and EDD.vtt

3.2 KB

7. EDD in Python.mp4

78.7 MB

7. EDD in Python.vtt

9.2 KB

8. Project Exercise 2.html

0.2 KB

9. Outlier Treatment.mp4

29.1 MB

9. Outlier Treatment.vtt

4.1 KB

/6. Linear Regression/

10. Multiple Linear Regression in Python.mp4

92.4 MB

10. Multiple Linear Regression in Python.vtt

11.1 KB

11. Project Exercise 9.html

0.3 KB

12. Test-train split.mp4

51.5 MB

13. Bias Variance trade-off.mp4

31.0 MB

14. Test train split in Python.mp4

60.6 MB

15. Linear models other than OLS.mp4

20.1 MB

15. Linear models other than OLS.vtt

4.0 KB

16. Subset selection techniques.mp4

91.4 MB

16. Subset selection techniques.vtt

11.5 KB

17. Shrinkage methods Ridge and Lasso.mp4

55.0 MB

17. Shrinkage methods Ridge and Lasso.vtt

7.3 KB

18. Ridge regression and Lasso in Python.mp4

264.3 MB

19. Project Exercise 10.html

0.4 KB

1. The Problem Statement.mp4

15.6 MB

1. The Problem Statement.vtt

1.5 KB

20.1 Movie_collection_test.csv.csv

12.0 KB

20. Final Project Exercise.html

0.3 KB

21. Course Conclusion.html

1.7 KB

2. Basic Equations and Ordinary Least Squares (OLS) method.mp4

52.7 MB

2. Basic Equations and Ordinary Least Squares (OLS) method.vtt

8.9 KB

3. Simple Linear Regression in Python.mp4

82.5 MB

3. Simple Linear Regression in Python.vtt

10.1 KB

4. Project Exercise 8.html

0.3 KB

5. Assessing accuracy of predicted coefficients.mp4

109.5 MB

5. Assessing accuracy of predicted coefficients.vtt

14.3 KB

6. Assessing Model Accuracy RSE and R squared.mp4

52.1 MB

6. Assessing Model Accuracy RSE and R squared.vtt

7.2 KB

7. Multiple Linear Regression.mp4

40.8 MB

7. Multiple Linear Regression.vtt

5.2 KB

8. The F - statistic.mp4

67.2 MB

8. The F - statistic.vtt

8.2 KB

9. Interpreting results of Categorical variables.mp4

28.4 MB

9. Interpreting results of Categorical variables.vtt

4.8 KB

/

Discuss.FTUForum.com.html

32.7 KB

FreeCoursesOnline.Me.html

110.9 KB

FTUForum.com.html

102.9 KB

How you can help Team-FTU.txt

0.2 KB

[TGx]Downloaded from torrentgalaxy.org.txt

0.5 KB

Torrent Downloaded From GloDls.to.txt

0.1 KB

 

Total files 125


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