Regression in Python

Description

Regression analysis is a statistical technique for examining and modeling the relationship between variables. Regression is required for estimation and prediction in almost every field including engineering, physics, economics, management, life sciences, biology, and social sciences.

It can be said that regression analysis is the most widely used method among statistical techniques. The general summary of simple regression analysis is as follows:
At first, the analyst guesses that there is some kind of relationship between the two variables, in fact, he guesses that there is a relationship in the form of a line between the two variables, and then he collects some information from the two variables and analyzes this data. Draws dot in a two-dimensional diagram.

 

Content title:

Introduction of linear regression

Example of linear regression

Introduction of logistic regression

The concept of cross-validation

Python programming of linear regression

Python programming of logistic regression

Example 1 Python Regression Programming: Sigmoid Function

Example 2 Python regression programming

Example 3 Python Regression Programming: Credit Scoring