Hello everyone and welcome to this hands-on guided project on simple linear regression for the absolute beginner. In simple linear regression, we predict the value of one variable Y based on another variable X. X is called the independent variable and Y is called the dependent variable. This guided project is practical and directly applicable to many industries. You can add this project to your portfolio of projects which is essential for your next job interview.

In this Guided Project, you will:

• Understand the theory and intuition behind simple linear regression models
• Build, train and test a simple linear regression model in Sklearn
• Perform data cleaning, feature engineering and visualization

2 hours

Beginner

No download needed

Split-screen video

English

Desktop only

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

1. Understand the Problem Statement
2. Import Libraries and Datasets
3. Practice Opportunity #1 [Optional]
4. Perform Data Visualization
5. Create Training and Testing Datasets
6. Practice Opportunity #2 [Optional]
7. Understand the theory behind Simple Linear Regression
8. Train a simple linear regression model
9. Practice Opportunity #3 [Optional]
10. Evaluate Trained Simple Linear Regression Model Performance
11. Practice Opportunity #4 [Optional]
12. Final Capstone Project Overview
13. Final Capstone Project Solution

 

Note: This is part of the larger overall course Digital Marketer. To complete it fully, you will need to complete all of the following courses:

• Google Digital Marketing & E-commerce
• Create a Landing Page using Mailchimp
• Create Digital Marketing Campaign Dashboards in Tableau
• Prepare, Clean, Transform, and Load Data using Power BI
• Get Started With Tableau
• Create a value proposition canvas in Miro
• Introduction to Relational Database and SQL
• Simple Linear Regression for the Absolute Beginner
• Create a website with MailChimp
• Getting started with Microsoft Excel