# Module overview

## What you will learn

<!-- Give in plain English what the module is about -->

This module gives some insights regarding feature selection. Besides motivating
the benefit of using feature selection, we also illustrate some of the known
caveats.

## Before getting started

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The required technical skills to carry on this module are:

- skills acquired during the "The Predictive Modeling Pipeline" module with
  basic usage of scikit-learn;
- skills acquired during the "Selecting The Best Model" module, mainly around
  the concept of underfit/overfit and the usage of cross-validation in
  scikit-learn.

<!-- Point to resources to learning these skills -->

## Objectives and time schedule

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The objective in the module are the following:

- understand in which case feature selection is beneficial;
- be aware of the caveats and how to put into practice feature selection
  techniques.

<!-- Give the investment in time -->

The estimated time to go through this module is about 50 minutes.
