Machine Learning Regression Bonus #2

Published by SuperDataScience Team

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As students progress from learning Linear Regression to Multiple Linear Regression there are a few common questions that arise.

This free bonus tackles two of the most frequently asked Multiple Linear Regression-related questions that we hear from students on their Machine Learning journey.

Question 1: How do I use my multiple linear regression model to make a single prediction, for example, the profit of a startup with R&D Spend = 160000, Administration Spend = 130000, Marketing Spend = 300000 and State = California?

Question 2: How do I get the final regression equation y = b0 + b1 x1 + b2 x2 + … with the final values of the coefficients?

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

  • Importing libraries
  • Importing datasets 
  • Encoding categorical data 
  • Splitting the data into Training and Test sets 
  • Training the Multiple Linear Regression model on the Training set 
  • Predicting the Test set results 
  • Making a single prediction 
  • Getting the final linear regression equation (with the values of the coefficients)

Get your Multiple Linear Regression Bonus Here

Enjoy!