The rich text editing platform that helped launch Atlassian, Medium, Evernote, and more 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

How to do basic statistical operations in R

Advanced Linear regression techniques using GLMNET package of R

Graphically representing data in R before and after analysis

Students will need to install R and R studio software but we have a separate lecture to help you install the same
You've found the right Linear Regression course!

After completing this course you will be able to:

Identify the business problem which can be solved using linear regression technique of Machine Learning.

Create a linear regression model in R and analyze its result.

Confidently practice, discuss and understand Machine Learning concepts

Below are the course contents of this course on Linear Regression:

Section 1 - Basics of Statistics

Section 2 - R basic

Section 3 - Introduction to Machine Learning

Section 4 - Data Preprocessing

Section 5 - Regression Model

Who this course is for:

People pursuing a career in data science

Working Professionals bning their Data journey

Statisticians needing more practical experience

Anyone curious to master Linear Regression from bner to advanced in short span of



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