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

• [ FreeCourseWeb ] Udemy - Machine Learning Basics- Building Regression Model in Python
• 1. Introduction/1. Welcome to the course!.mp4 16.3 MB
• 1. Introduction/1. Welcome to the course!.vtt 2.6 KB
• 1. Introduction/2. Course contents.mp4 47.8 MB
• 2. Basics of Statistics/1. Types of Data.mp4 25.9 MB
• 2. Basics of Statistics/1. Types of Data.vtt 4.3 KB
• 2. Basics of Statistics/2. Types of Statistics.mp4 13.2 MB
• 2. Basics of Statistics/2. Types of Statistics.vtt 2.7 KB
• 2. Basics of Statistics/3. Describing data Graphically.mp4 82.2 MB
• 2. Basics of Statistics/3. Describing data Graphically.vtt 11.3 KB
• 2. Basics of Statistics/4. Measures of Centers.mp4 45.7 MB
• 2. Basics of Statistics/4. Measures of Centers.vtt 6.4 KB
• 2. Basics of Statistics/5. Practice Exercise 1.html 357 B
• 2. Basics of Statistics/5.1 Exercise 1.pdf.pdf 553.8 KB
• 2. Basics of Statistics/6. Measures of Dispersion.mp4 28.4 MB
• 2. Basics of Statistics/6. Measures of Dispersion.vtt 4.7 KB
• 2. Basics of Statistics/7. Practice Exercise 2.html 300 B
• 2. Basics of Statistics/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
• 3. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.vtt 2.2 KB
• 3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 73.1 MB
• 3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.vtt 8 KB
• 3. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4 51.3 MB
• 3. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.vtt 10.8 KB
• 3. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp4 15.9 MB
• 3. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.vtt 3.5 KB
• 3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 80.6 MB
• 3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.vtt 14.3 KB
• 3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 73.7 MB
• 3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.vtt 14.6 KB
• 3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 54.1 MB
• 3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.vtt 9.1 KB
• 3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 56.5 MB
• 3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.vtt 7.2 KB
• 3. Setting up Python and Jupyter Notebook/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
• 4. Introduction to Machine Learning/1. Introduction to Machine Learning.vtt 16.3 KB
• 4. Introduction to Machine Learning/2. Building a Machine Learning Model.mp4 45.3 MB
• 4. Introduction to Machine Learning/2. Building a Machine Learning Model.vtt 8.6 KB
• 4. Introduction to Machine Learning/3. Introduction to Machine learning quiz.html 166 B
• 5. Data Preprocessing/1. Gathering Business Knowledge.mp4 25.1 MB
• 5. Data Preprocessing/1. Gathering Business Knowledge.vtt 3.4 KB
• 5. Data Preprocessing/10. Outlier Treatment in Python.mp4 86.6 MB
• 5. Data Preprocessing/10. Outlier Treatment in Python.vtt 11.2 KB
• 5. Data Preprocessing/11. Project Exercise 3.html 233 B
• 5. Data Preprocessing/12. Missing Value Imputation.mp4 27.6 MB
• 5. Data Preprocessing/12. Missing Value Imputation.vtt 3.6 KB
• 5. Data Preprocessing/13. Missing Value Imputation in Python.mp4 28.6 MB
• 5. Data Preprocessing/13. Missing Value Imputation in Python.vtt 3.6 KB
• 5. Data Preprocessing/14. Project Exercise 4.html 238 B
• 5. Data Preprocessing/15. Seasonality in Data.mp4 20.9 MB
• 5. Data Preprocessing/15. Seasonality in Data.vtt 3.3 KB
• 5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 113.7 MB
• 5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.vtt 16.1 KB
• 5. Data Preprocessing/17. Variable transformation and deletion in Python.mp4 53.4 MB
• 5. Data Preprocessing/17. Variable transformation and deletion in Python.vtt 6.5 KB
• 5. Data Preprocessing/18. Project Exercise 5.html 285 B
• 5. Data Preprocessing/19. Non-usable variables.mp4 23.9 MB
• 5. Data Preprocessing/19. Non-usable variables.vtt 4.8 KB
• 5. Data Preprocessing/2. Data Exploration.mp4 23.4 MB
• 5. Data Preprocessing/2. Data Exploration.vtt 3.2 KB
• 5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4 40.6 MB
• 5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.vtt 4.3 KB
• 5. Data Preprocessing/21. Dummy variable creation in Python.mp4 33.9 MB
• 5. Data Preprocessing/21. Dummy variable creation in Python.vtt 4.8 KB
• 5. Data Preprocessing/22. Project Exercise 6.html 202 B
• 5. Data Preprocessing/23. Correlation Analysis.mp4 81.3 MB
• 5. Data Preprocessing/23. Correlation Analysis.vtt 9.7 KB
• 5. Data Preprocessing/24. Correlation Analysis in Python.mp4 68 MB
• 5. Data Preprocessing/24. Correlation Analysis in Python.vtt 5.8 KB
• 5. Data Preprocessing/25. Project Exercise 7.html 288 B
• 5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 78.6 MB
• 5. Data Preprocessing/3. The Dataset and the Data Dictionary.vtt 6.9 KB
• 5. Data Preprocessing/3.1 House_Price.csv.csv 53.5 KB
• 5. Data Preprocessing/4. Importing Data in Python.mp4 32.5 MB
• 5. Data Preprocessing/4. Importing Data in Python.vtt 4.9 KB
• 5. Data Preprocessing/4.1 House_Price.csv.csv 53.5 KB
• 5. Data Preprocessing/5. Project exercise 1.html 431 B
• 5. Data Preprocessing/5.1 Movie_collection_train.csv.csv 43.3 KB
• 5. Data Preprocessing/6. Univariate analysis and EDD.mp4 27.3 MB
• 5. Data Preprocessing/6. Univariate analysis and EDD.vtt 3.1 KB
• 5. Data Preprocessing/7. EDD in Python.mp4 75.1 MB
• 5. Data Preprocessing/7. EDD in Python.vtt 9 KB
• 5. Data Preprocessing/8. Project Exercise 2.html 177 B
• 5. Data Preprocessing/9. Outlier Treatment.mp4 27.8 MB
• 5. Data Preprocessing/9. Outlier Treatment.vtt 4 KB
• 6. Linear Regression/1. The Problem Statement.mp4 10.7 MB
• 6. Linear Regression/1. The Problem Statement.vtt 1.4 KB
• 6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 156.6 MB
• 6. Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 50.3 MB
• 6. Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.vtt 8.7 KB
• 6. Linear Regression/3. Simple Linear Regression in Python.mp4 78.6 MB
• 6. Linear Regression/3. Simple Linear Regression in Python.vtt 9.8 KB
• 6. Linear Regression/4. Project Exercise 8.html 322 B
• 6. Linear Regression/5. Assessing accuracy of predicted coefficients.mp4 104.4 MB
• 6. Linear Regression/5. Assessing accuracy of predicted coefficients.vtt 14 KB
• 6. Linear Regression/6. Assessing Model Accuracy RSE and R squared.mp4 49.7 MB
• 6. Linear Regression/6. Assessing Model Accuracy RSE and R squared.vtt 7.1 KB
• How to Support [ FreeCourseWeb.com ] for Free.txt 323 B

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