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Multiple Linear Regression and Polynomial Regression (Tutorial 4)

Difficulty level

In this tutorial, we will generalize the regression model to incorporate multiple features.

Topics covered in this lesson
  • Learn how to structure inputs for regression using the 'Design Matrix'
  • Generalize the MSE for multiple features using the ordinary least squares estimator
  • Visualize data and model fit in multiple dimensions
  • Fit polynomial regression models of different complexity
  • Plot and evaluate the polynomial regression fits

Experience with Python Programming Language

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