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Linear Regression for ML
course content

Course Content

Linear Regression for ML

Linear Regression for ML

1. Simple Linear Regression
What is Linear RegressionFinding the ParametersBuilding the Linear Regression with scikit-learnChallengeCheatsheet
2. Multiple Linear Regression
Linear Regression with Two FeaturesLinear Regression with n FeaturesBuilding Multiple Linear RegressionChallengeCheatsheet
3. Polynomial Regression
Quadratic RegressionPolynomial RegressionPolynomialFeaturesBuilding the Polynomial RegressionInterpolation vs ExtrapolationChallengeCheatsheet
4. Evaluating and Comparing Models
Metrics

bookCheatsheet

Congratulations on finishing the section!
Here is a cheatsheet with key takeaways.

You can download the image by simply clicking on it

Congratulations on learning Simple Linear Regression, Multiple Linear Regression, and Polynomial Regression!
Next, you will learn how to evaluate the models' performance and compare them to choose the best one.
You will also learn about the problems you might face while using these models, such as overfitting, and how to address them.

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Section 3. Chapter 7
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