Python for Simple, Multiple and Polynomial Regression Models

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Zeeshan Ahmad

6:49:25

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1. Introduction

1. Introduction of the Course.mp4

02:30

2. Course Outline.mp4

02:42

3.1 Course Material.zip

3. Course Material.html

2. Python Crash Course

1. Introduction of the Section.mp4

00:50

2. Installing Python Package.mp4

04:25

3. Introduction of Jupyter Notebook.mp4

14:27

4. Arithmetic With Python Part-01.mp4

07:54

5. Arithmetic With Python Part-02.mp4

09:27

6. Arithmetic With Python Part-03.mp4

07:49

7. Dealing With Arrays Part-01.mp4

11:09

8. Dealing With Arrays Part-02.mp4

11:26

9. Dealing With Arrays Part-03.mp4

21:09

10. Plotting and Visualization Part-01.mp4

17:51

11. Plotting and Visualization Part-02.mp4

15:03

12. Plotting and Visualization Part-03.mp4

13:34

13. Plotting and Visualization Part-04.mp4

07:35

14. Lists In Python.mp4

20:27

15. for loops Part-01.mp4

21:03

16. for loops Part-02.mp4

20:36

3. Regression Analysis by Least Square Method

1. Slope-Intercept Form.mp4

07:35

2. Definition of Regression.mp4

11:01

3. Multiple Regression.mp4

09:41

4. Least Square Regression Part-01.mp4

06:39

5. Least Square Regression Part-02.mp4

08:36

6. Least Square Regression Part-03.mp4

02:19

7. Simple Regression in Python Part-01.mp4

19:29

8. Simple Regression in Python Part-02.mp4

06:41

9. Multiple Regression in Python Part-01.mp4

08:07

10. Multiple Regression in Python Part-02.mp4

17:06

11. Multiple Regression in Python Part-03.mp4

09:43

12. Polynomial Regression.mp4

07:01

13. Polynomial Regression in Python.mp4

16:51

14. Summary of Polynomial Regression.mp4

02:40

4. Regression By Gradient Descent

1. Introduction of Gradient Descent.mp4

05:55

2.1 4.2-Pictorial Explanation of Gradient descent.mp4

05:36

2. Pictorial Explanation of Gradient Descent.mp4

05:36

3. Gradient Descent and Least Square Regression.mp4

03:46

4. Gradient Descent in Python Part-01.mp4

08:21

5. Gradient Descent in Python Part-02.mp4

06:31

5. Overfitting and Regularization

1. Introduction to Overfitting and Regularization.mp4

08:21

2. Ridge Regression.mp4

09:09

3. Ridge Regression in Python.mp4

12:44

Description

Complete Linear Regression Analysis - Theory, Intuition, Mathematics and Implementation in Python.

What You'll Learn?

Python Programming for Regression Analysis
Mathematics and Intuition behind Regression Models
Simple Linear Regression
Multiple Linear Regression
Polynomial Regression
Ridge Regression
Least Square Regression
Regression by Gradient Descent

Who is this for?

Students learning Data Science and Machine Learning.

Want to switch from Matlab and Other Programming Languages to Python

Students and Researchers who knows about Regression Analysis but don't know how to implement in Python

Every individual who wants to learn Linear Regression from scratch

What You Need to Know?

Basic Knowledge of Mathematics will be helpful

More details

Description
â€¢The focus of the course is to solve Regression problem in python with the understanding of theory and Mathematics as well.
â€¢ All the mathematical equations for Regression problem will be derived and during coding in python we will code these equations step by step to see the implementation of mathematics of Regression in python.
â€¢ This course is for everyone. A high school student, a university student and
a researcher in machine learning.

â€¢ The course starts from the fundamentals of Regression and then we will
move on to next levels with a decent pace so that every student can follow
along easily.

â€¢ In this course you will learn about the theory of the Regression,
mathematics of Regression with proper derivations and following all the
steps. Finally, you will learn how to code Regression in python by following
the equations of Regression learned in the theory.
Who this course is for ?
Students learning Data Science, Machine Learning and Applied Statistical Analytics.
Want to switch from Matlab and Other Programming Languages to Python.
Students and Researchers who know about the theory of Regression Analysis but don't know how to implement in Python.
Every individual who wants to learn Linear Regression Analysis from scratch.
Who this course is for:
Students learning Data Science and Machine Learning.
Want to switch from Matlab and Other Programming Languages to Python
Students and Researchers who knows about Regression Analysis but don't know how to implement in Python
Every individual who wants to learn Linear Regression from scratch

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Dr. Zeeshan is PhD in Electrical and Computer Engineering from Ryerson University Toronto. He has more than 18 years of teaching and research experience. He has taught many courses related to Computer and Electrical Engineering. His research interests include Machine learning, Deep learning, Computer vision, Signal and Image processing and multimodal fusion. He has publications in reputed journals and conferences.

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