Multiple Linear Regression and Polynomial Regression (Tutorial 4)
Multiple Linear Regression and Polynomial Regression (Tutorial 4)
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
External Links
Prerequisites
Experience with Python Programming Language
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