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

#### What you'll learn

Learn how to solve real life problem 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 Simplest Machine Learning algorithm

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

Understanding of basics of statistics and concepts of Machine Learning

Indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem

Learn advanced variations of OLS method of Linear Regression

Course contains a end-to-end DIY project to implement your learnings from the lectures

How to convert 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

#### Requirements

#### Description

#### After completing this course you will be able to:

#### How this course will help you?

#### Why should you choose this course?

#### What makes us qualified to teach you?

#### What is covered in this course?

#### What is Machine Learning?

**Why learn Linear regression technique of Machine learning?**

Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.

Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model

Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python

Understanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.