Description

Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso, and subset selection also

Learn how to solve real-life problems using the Linear Regression technique

Preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression

Predict future outcomes basis past data by implementing the Simplest Machine Learning algorithm

Understand how to interpret the result of the Linear Regression model and translate them into actionable insight

Understanding of basics of statistics and concepts of Machine Learning

In-depth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem

Learn advanced variations of OLS method of Linear Regression

The course contains an end-to-end DIY project to implement your learnings from the lectures

How to convert the business problem into a Machine learning Linear Regression problem

Basic statistics using Numpy library in Python

Data representation using Seaborn library in Python

Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python