Python – Solving Regression Problems

Python for Regression Analysis

In this course you will learn how python is used for solving Regression Problems. You will learn the theory of the Regression, mathematics of Regression with proper derivations and implementing Regression problem in python. By completing this course students will be able to solve Regression problems using Least Square and Gradient descent method and will also be able to address the overfitting problem in Regression analysis using python

What you’ll learn

  • Fundamentals of Regression, In-depth mathematics of Regression and solving Regression Problem using python..

Course Content

  • Introduction –> 2 lectures • 5min.
  • Section 2 : Important Python Modules –> 2 lectures • 22min.
  • Least Square Regression –> 14 lectures • 2hr 13min.
  • Regression by Gradient Descent –> 5 lectures • 30min.
  • Overfitting and Regularization –> 3 lectures • 30min.

Python – Solving Regression Problems

Requirements

  • Some fundamental knowledge of programming will be an asset.

In this course you will learn how python is used for solving Regression Problems. You will learn the theory of the Regression, mathematics of Regression with proper derivations and implementing Regression problem in python. By completing this course students will be able to solve Regression problems using Least Square and Gradient descent method and will also be able to address the overfitting problem in Regression analysis using python