Linear Regression for ML

Linear Regression for ML

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1. Simple Linear Regression

What is Linear Regression

Finding the Parameters

Building the Linear Regression with scikit-learn

2. Multiple Linear Regression

Linear Regression with Two Features

Linear Regression with n Features

Building Multiple Linear Regression

Cheatsheet

3. Polynomial Regression

Quadratic Regression

Polynomial Regression

PolynomialFeatures

Building the Polynomial Regression

Interpolation vs Extrapolation

4. Evaluating and Comparing Models

Contenido del Curso

Linear Regression for ML

Linear Regression for ML

1. Simple Linear Regression

What is Linear Regression Finding the Parameters Building the Linear Regression with scikit-learn Challenge Cheatsheet

2. Multiple Linear Regression

Linear Regression with Two Features Linear Regression with n Features Building Multiple Linear Regression Challenge Cheatsheet

3. Polynomial Regression

Quadratic Regression Polynomial Regression PolynomialFeatures Building the Polynomial Regression Interpolation vs Extrapolation Challenge Cheatsheet

4. Evaluating and Comparing Models

Cheatsheet

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

You can download the image by simply clicking on it

This section was a lot like the previous one.
I hope you consolidated the knowledge gained so far.
Now let's move to a Polynomial Linear Regression, which is a little more different!

¿Todo estuvo claro?

¡Gracias por tus comentarios!

Sección 2. Capítulo 5

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