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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]

Udemy | Machine Learning Basics Building Regression Model in Python [FTU]

Udemy | Machine Learning Basics Building Regression Model in Python [FTU]

Language:

English

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2.8 GB

Added:

June 2, 2023, 12:21 p.m.

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Files:

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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