Machine Learning Regression Bonus #1

Published by SuperDataScience Team

Live Training With Hadelin

Discover the 5 steps to Unlock your Career!

Register My Spot Now >>
Days
Hours
Minutes
Seconds

Linear Regression is one of the most commonly used statistical modeling methods in data science. It’s also a topic that attracts many questions from our community of students.

This free bonus download tackles two of the most frequently asked questions regarding Linear Regression, and walks you through, step-by-step, to help you solve them with confidence—code included!

Question 1: How do I use my simple linear regression model to make a single prediction, for example, to predict the salary of an employee with 12 years of experience?

Question 2: How do I get the final regression equation y = b0 + b1 x with the final values of the coefficients b0 and b1?

Here’s the step-by-step coding exercise you receive in this Google Colab bonus:

  • Importing libraries and datasets
  • Splitting the dataset
  • Training the simple Linear Regression model on the Training set
  • Predicting and visualizing the test set results
  • Visualizing the training set results 
  • Making a single prediction 
  • Getting the final linear regression equation (with values of the coefficients) 

Enjoy!