Linear Regression With Least Squares Optimization (Tutorial 1)
Linear Regression With Least Squares Optimization (Tutorial 1)
This is the first of a series of tutorials on fitting models to data. In this tutorial, we start with simple linear regression, using least squares optimization.
Topics covered in this lesson
- Learn how to calculate the mean-squared error (MSE)
- Explore how model parameters (slope) influence the MSE
- Learn how to find the optimal model parameter using least-squares optimization
External Links
Prerequisites
Experience with Python Programming Language
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