#### Ratings & reviews

4.526 ratings

18 days ago

Lacks more simple challenges and examples.

Raymond F.

167 days ago

Henrik D.

168 days ago

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Simple Linear Regression  Let's start with the simplest Linear Regression model! You will learn the idea behind Linear Regression and how to make predictions in Python.

What Is The Linear Regression

Finding The Parameters

Building The Linear Regression Using NumPy

Building The Linear Regression Using Statsmodels

Challenge

Multiple Linear Regression  Most real-world prediction tasks involve more than one feature. You will learn how to handle Linear Regression with multiple features.

Linear Regression With Two Features

Linear Regression With n Features

Building Multiple Linear Regression

Choosing The Features

Challenge

Polynomial Regression  A straight line does not always describe the data well. Let's learn how to build a more complex model for prediction! That's what the Polynomial Regression is suited for.

Polynomial Regression

Building The Polynomial Regression

Interpolation vs Extrapolation

Challenge

Choosing The Best Model  Now that you know how to build many Linear Regression models, you need a way to choose the best one. This is achievable using metrics. This section explains the most used ones and the difficulties you can face using them.

Metrics

Overfitting

R-squared

Challenge  