[ FreeCourseWeb ] Udemy - Machine Learning Basics- Building Regression Model in Python

Files:

• 18. Ridge regression and Lasso in Python.mp4 (156.6 MB)
• 1. The Problem Statement.mp4 (10.7 MB)
• 1. The Problem Statement.vtt (1.4 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 (0.3 KB)
• 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)
• 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 (0.3 KB)
• 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 (38.6 MB)
• 17. Shrinkage methods Ridge and Lasso.vtt (7.2 KB)
• 19. Project Exercise 10.html (0.4 KB)
• 20. Final Project Exercise.html (0.3 KB)
• 20.1 Movie_collection_test.csv.csv (11.7 KB)
• 21. Course Conclusion.html (1.6 KB)

• How to Support [ FreeCourseWeb.com ] for Free.txt (0.3 KB)
• Torrent Downloaded From GloDls.to.txt (0.1 KB)
1. Introduction
• 1. Welcome to the course!.mp4 (16.3 MB)
• 1. Welcome to the course!.vtt (2.6 KB)
• 2. Course contents.mp4 (47.8 MB)
2. Basics of Statistics
• 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. Practice Exercise 1.html (0.3 KB)
• 5.1 Exercise 1.pdf.pdf (553.8 KB)
• 6. Measures of Dispersion.mp4 (28.4 MB)
• 6. Measures of Dispersion.vtt (4.7 KB)
• 7. Practice Exercise 2.html (0.3 KB)
• 7.1 Exercise 2.pdf.pdf (469.9 KB)
3. Setting up Python and Jupyter Notebook
• 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)
4. Introduction to Machine Learning
• 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 (0.2 KB)
5. Data Preprocessing
• 1. Gathering Business Knowledge.mp4 (25.1 MB)
• 1. Gathering Business Knowledge.vtt (3.4 KB)
• 2. Data Exploration.mp4 (23.4 MB)
• 2. Data Exploration.vtt (3.2 KB)
• 3. The Dataset and the Data Dictionary.mp4 (78.6 MB)
• 3. The Dataset and the Data Dictionary.vtt (6.9 KB)
• 3.1 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)
• 4.1 House_Price.csv.csv (53.5 KB)
• 5. Project exercise 1.html (0.4 KB)
• 5.1 Movie_collection_train.csv.csv (43.3 KB)
• 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 (0.2 KB)
• 9. Outlier Treatment.mp4 (27.8 MB)
• 9. Outlier Treatment.vtt (4.0 KB)
• 10. Outlier Treatment in Python.mp4 (86.6 MB)
• 10. Outlier Treatment in Python.vtt (11.2 KB)
• 11. Project Exercise 3.html (0.2 KB)
• 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 (0.2 KB)
• 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