Curriculum

5 Topics
Introduction to machine learning
Supervised and unsupervised learning methods
The linear regression model
Residuals
Residual sum of squares (RSS) and R虏 (R-squared)

4 Topics
Reading & Understanding the Data
Hypothesis Testing
Building a Linear Model
Linear Regression using SKLearn

4 Topics
Multicollinearity
Dealing with Categorical Variables
Model Assessment
Feature Selection

4 Topics
Data Preparation
Building the Model
Residual Analysis & Predictions
Variable Selection using RFE

4 Topics
Prediction vs Projection
Media Company Case Study
Exploratory Data Analysis
Model Building

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Linear Regression - Step by Step Guide

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