Python for Simple, Multiple and Polynomial Regression Models
Complete Linear Regression Analysis - Theory, Intuition, Mathematics and Implementation in Python.
Ratings 4.50 / 5.00
What You Will 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
Description
•The focus of the course is to solve Regression problem in python with the understanding of theory and Mathematics as well.
• 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.
• This course is for everyone. A high school student, a university student and
a researcher in machine learning.
• 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.
• 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.
Students and Researchers who 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 Simple, Multiple and Polynomial Regression Analysis from scratch.
Who Should Attend!
- 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