Udemy | Machine Learning Basics Building Regression Model in Python [FTU]
Seeders : 1 Leechers : 3
| Torrent Hash : | 9D1AC7B3551F437C84BC0620165919088ABA8C60 |
| Torrent Added : | at June 2, 2023, 12:21 p.m. in Other |
| Torrent Size : | 2.8 GB |
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Udemy | Machine Learning Basics Building Regression Model in Python [FTU]
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Udemy | Machine Learning Basics Building Regression Model in Python [FTU]
1. Welcome to the course!.mp4 -
1. Welcome to the course!.vtt -
2. Course contents.mp4 -
1. Types of Data.mp4 -
1. Types of Data.vtt -
2. Types of Statistics.mp4 -
2. Types of Statistics.vtt -
3. Describing data Graphically.mp4 -
3. Describing data Graphically.vtt -
4. Measures of Centers.mp4 -
4. Measures of Centers.vtt -
5.1 Exercise 1.pdf.pdf -
5. Practice Exercise 1.html -
6. Measures of Dispersion.mp4 -
6. Measures of Dispersion.vtt -
7.1 Exercise 2.pdf.pdf -
7. Practice Exercise 2.html -
1. Installing Python and Anaconda.mp4 -
1. Installing Python and Anaconda.vtt -
2. Opening Jupyter Notebook.mp4 -
2. Opening Jupyter Notebook.vtt -
3. Introduction to Jupyter.mp4 -
3. Introduction to Jupyter.vtt -
4. Arithmetic operators in Python Python Basics.mp4 -
4. Arithmetic operators in Python Python Basics.vtt -
5. Strings in Python Python Basics.mp4 -
5. Strings in Python Python Basics.vtt -
6. Lists, Tuples and Directories Python Basics.mp4 -
6. Lists, Tuples and Directories Python Basics.vtt -
7. Working with Numpy Library of Python.mp4 -
7. Working with Numpy Library of Python.vtt -
8. Working with Panda Library of Python.mp4 -
8. Working with Panda Library of Python.vtt -
9. Working with Seaborn Library of Python.mp4 -
1. Introduction to Machine Learning.mp4 -
1. Introduction to Machine Learning.vtt -
2. Building a Machine Learning Model.mp4 -
2. Building a Machine Learning Model.vtt -
3. Introduction to Machine learning quiz.html -
10. Outlier Treatment in Python.mp4 -
10. Outlier Treatment in Python.vtt -
11. Project Exercise 3.html -
12. Missing Value Imputation.mp4 -
12. Missing Value Imputation.vtt -
13. Missing Value Imputation in Python.mp4 -
13. Missing Value Imputation in Python.vtt -
14. Project Exercise 4.html -
15. Seasonality in Data.mp4 -
15. Seasonality in Data.vtt -
16. Bi-variate analysis and Variable transformation.mp4 -
16. Bi-variate analysis and Variable transformation.vtt -
17. Variable transformation and deletion in Python.mp4 -
17. Variable transformation and deletion in Python.vtt -
18. Project Exercise 5.html -
19. Non-usable variables.mp4 -
19. Non-usable variables.vtt -
1. Gathering Business Knowledge.mp4 -
1. Gathering Business Knowledge.vtt -
20. Dummy variable creation Handling qualitative data.mp4 -
20. Dummy variable creation Handling qualitative data.vtt -
21. Dummy variable creation in Python.mp4 -
21. Dummy variable creation in Python.vtt -
22. Project Exercise 6.html -
23. Correlation Analysis.mp4 -
23. Correlation Analysis.vtt -
24. Correlation Analysis in Python.mp4 -
24. Correlation Analysis in Python.vtt -
25. Project Exercise 7.html -
2. Data Exploration.mp4 -
2. Data Exploration.vtt -
3.1 House_Price.csv.csv -
3. The Dataset and the Data Dictionary.mp4 -
3. The Dataset and the Data Dictionary.vtt -
4.1 House_Price.csv.csv -
4. Importing Data in Python.mp4 -
4. Importing Data in Python.vtt -
5.1 Movie_collection_train.csv.csv -
5. Project exercise 1.html -
6. Univariate analysis and EDD.mp4 -
6. Univariate analysis and EDD.vtt -
7. EDD in Python.mp4 -
7. EDD in Python.vtt -
8. Project Exercise 2.html -
9. Outlier Treatment.mp4 -
9. Outlier Treatment.vtt -
10. Multiple Linear Regression in Python.mp4 -
10. Multiple Linear Regression in Python.vtt -
11. Project Exercise 9.html -
12. Test-train split.mp4 -
13. Bias Variance trade-off.mp4 -
14. Test train split in Python.mp4 -
15. Linear models other than OLS.mp4 -
15. Linear models other than OLS.vtt -
16. Subset selection techniques.mp4 -
16. Subset selection techniques.vtt -
17. Shrinkage methods Ridge and Lasso.mp4 -
17. Shrinkage methods Ridge and Lasso.vtt -
18. Ridge regression and Lasso in Python.mp4 -
19. Project Exercise 10.html -
1. The Problem Statement.mp4 -
1. The Problem Statement.vtt -
20.1 Movie_collection_test.csv.csv -
20. Final Project Exercise.html -
21. Course Conclusion.html -
2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 -
2. Basic Equations and Ordinary Least Squares (OLS) method.vtt -
3. Simple Linear Regression in Python.mp4 -
3. Simple Linear Regression in Python.vtt -
4. Project Exercise 8.html -
5. Assessing accuracy of predicted coefficients.mp4 -
5. Assessing accuracy of predicted coefficients.vtt -
6. Assessing Model Accuracy RSE and R squared.mp4 -
6. Assessing Model Accuracy RSE and R squared.vtt -
7. Multiple Linear Regression.mp4 -
7. Multiple Linear Regression.vtt -
8. The F - statistic.mp4 -
8. The F - statistic.vtt -
9. Interpreting results of Categorical variables.mp4 -
9. Interpreting results of Categorical variables.vtt -
Discuss.FTUForum.com.html -
FreeCoursesOnline.Me.html -
FTUForum.com.html -
How you can help Team-FTU.txt -
[TGx]Downloaded from torrentgalaxy.org.txt -
Torrent Downloaded From GloDls.to.txt -
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1. Welcome to the course!.mp4 -
20.6 MB
1. Welcome to the course!.vtt -
2.6 KB
2. Course contents.mp4 -
63.9 MB
1. Types of Data.mp4 -
25.9 MB
1. Types of Data.vtt -
4.3 KB
2. Types of Statistics.mp4 -
13.2 MB
2. Types of Statistics.vtt -
2.7 KB
3. Describing data Graphically.mp4 -
82.2 MB
3. Describing data Graphically.vtt -
11.3 KB
4. Measures of Centers.mp4 -
45.7 MB
4. Measures of Centers.vtt -
6.4 KB
5.1 Exercise 1.pdf.pdf -
553.8 KB
5. Practice Exercise 1.html -
357 bytes
6. Measures of Dispersion.mp4 -
28.4 MB
6. Measures of Dispersion.vtt -
4.7 KB
7.1 Exercise 2.pdf.pdf -
469.9 KB
7. Practice Exercise 2.html -
300 bytes
1. Installing Python and Anaconda.mp4 -
18.6 MB
1. Installing Python and Anaconda.vtt -
2.2 KB
2. Opening Jupyter Notebook.mp4 -
73.1 MB
2. Opening Jupyter Notebook.vtt -
8.0 KB
3. Introduction to Jupyter.mp4 -
51.3 MB
3. Introduction to Jupyter.vtt -
10.8 KB
4. Arithmetic operators in Python Python Basics.mp4 -
15.9 MB
4. Arithmetic operators in Python Python Basics.vtt -
3.5 KB
5. Strings in Python Python Basics.mp4 -
80.6 MB
5. Strings in Python Python Basics.vtt -
14.3 KB
6. Lists, Tuples and Directories Python Basics.mp4 -
73.7 MB
6. Lists, Tuples and Directories Python Basics.vtt -
14.6 KB
7. Working with Numpy Library of Python.mp4 -
54.1 MB
7. Working with Numpy Library of Python.vtt -
9.1 KB
8. Working with Panda Library of Python.mp4 -
56.5 MB
8. Working with Panda Library of Python.vtt -
7.2 KB
9. Working with Seaborn Library of Python.mp4 -
48.9 MB
1. Introduction to Machine Learning.mp4 -
123.9 MB
1. Introduction to Machine Learning.vtt -
16.3 KB
2. Building a Machine Learning Model.mp4 -
45.3 MB
2. Building a Machine Learning Model.vtt -
8.6 KB
3. Introduction to Machine learning quiz.html -
166 bytes
10. Outlier Treatment in Python.mp4 -
86.6 MB
10. Outlier Treatment in Python.vtt -
11.2 KB
11. Project Exercise 3.html -
233 bytes
12. Missing Value Imputation.mp4 -
27.6 MB
12. Missing Value Imputation.vtt -
3.6 KB
13. Missing Value Imputation in Python.mp4 -
28.6 MB
13. Missing Value Imputation in Python.vtt -
3.6 KB
14. Project Exercise 4.html -
238 bytes
15. Seasonality in Data.mp4 -
20.9 MB
15. Seasonality in Data.vtt -
3.3 KB
16. Bi-variate analysis and Variable transformation.mp4 -
113.7 MB
16. Bi-variate analysis and Variable transformation.vtt -
16.1 KB
17. Variable transformation and deletion in Python.mp4 -
53.4 MB
17. Variable transformation and deletion in Python.vtt -
6.5 KB
18. Project Exercise 5.html -
285 bytes
19. Non-usable variables.mp4 -
23.9 MB
19. Non-usable variables.vtt -
4.8 KB
1. Gathering Business Knowledge.mp4 -
25.1 MB
1. Gathering Business Knowledge.vtt -
3.4 KB
20. Dummy variable creation Handling qualitative data.mp4 -
40.6 MB
20. Dummy variable creation Handling qualitative data.vtt -
4.3 KB
21. Dummy variable creation in Python.mp4 -
33.9 MB
21. Dummy variable creation in Python.vtt -
4.8 KB
22. Project Exercise 6.html -
202 bytes
23. Correlation Analysis.mp4 -
81.3 MB
23. Correlation Analysis.vtt -
9.7 KB
24. Correlation Analysis in Python.mp4 -
68.0 MB
24. Correlation Analysis in Python.vtt -
5.8 KB
25. Project Exercise 7.html -
288 bytes
2. Data Exploration.mp4 -
23.4 MB
2. Data Exploration.vtt -
3.2 KB
3.1 House_Price.csv.csv -
53.5 KB
3. The Dataset and the Data Dictionary.mp4 -
78.6 MB
3. The Dataset and the Data Dictionary.vtt -
6.9 KB
4.1 House_Price.csv.csv -
53.5 KB
4. Importing Data in Python.mp4 -
32.5 MB
4. Importing Data in Python.vtt -
4.9 KB
5.1 Movie_collection_train.csv.csv -
43.3 KB
5. Project exercise 1.html -
431 bytes
6. Univariate analysis and EDD.mp4 -
27.3 MB
6. Univariate analysis and EDD.vtt -
3.1 KB
7. EDD in Python.mp4 -
75.1 MB
7. EDD in Python.vtt -
9.0 KB
8. Project Exercise 2.html -
177 bytes
9. Outlier Treatment.mp4 -
27.8 MB
9. Outlier Treatment.vtt -
4.0 KB
10. Multiple Linear Regression in Python.mp4 -
88.1 MB
10. Multiple Linear Regression in Python.vtt -
10.8 KB
11. Project Exercise 9.html -
327 bytes
12. Test-train split.mp4 -
49.1 MB
13. Bias Variance trade-off.mp4 -
29.6 MB
14. Test train split in Python.mp4 -
57.8 MB
15. Linear models other than OLS.mp4 -
19.2 MB
15. Linear models other than OLS.vtt -
3.9 KB
16. Subset selection techniques.mp4 -
87.1 MB
16. Subset selection techniques.vtt -
11.2 KB
17. Shrinkage methods Ridge and Lasso.mp4 -
52.5 MB
17. Shrinkage methods Ridge and Lasso.vtt -
7.2 KB
18. Ridge regression and Lasso in Python.mp4 -
252.0 MB
19. Project Exercise 10.html -
424 bytes
1. The Problem Statement.mp4 -
14.8 MB
1. The Problem Statement.vtt -
1.4 KB
20.1 Movie_collection_test.csv.csv -
11.7 KB
20. Final Project Exercise.html -
301 bytes
21. Course Conclusion.html -
1.6 KB
2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 -
50.3 MB
2. Basic Equations and Ordinary Least Squares (OLS) method.vtt -
8.7 KB
3. Simple Linear Regression in Python.mp4 -
78.6 MB
3. Simple Linear Regression in Python.vtt -
9.8 KB
4. Project Exercise 8.html -
322 bytes
5. Assessing accuracy of predicted coefficients.mp4 -
104.4 MB
5. Assessing accuracy of predicted coefficients.vtt -
14.0 KB
6. Assessing Model Accuracy RSE and R squared.mp4 -
49.7 MB
6. Assessing Model Accuracy RSE and R squared.vtt -
7.1 KB
7. Multiple Linear Regression.mp4 -
38.9 MB
7. Multiple Linear Regression.vtt -
5.1 KB
8. The F - statistic.mp4 -
64.1 MB
8. The F - statistic.vtt -
8.0 KB
9. Interpreting results of Categorical variables.mp4 -
27.1 MB
9. Interpreting results of Categorical variables.vtt -
4.7 KB
Discuss.FTUForum.com.html -
31.9 KB
FreeCoursesOnline.Me.html -
108.3 KB
FTUForum.com.html -
100.4 KB
How you can help Team-FTU.txt -
235 bytes
[TGx]Downloaded from torrentgalaxy.org.txt -
524 bytes
Torrent Downloaded From GloDls.to.txt -
84 bytes
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