Machine Learning with Scikit-Learn – 40 – One Hot Encoding – 1

In this machine learning tutorial we learn about One-Hot-Encoding, which is one of the ways to represent categorical variables.

A One-Hot Encoder replaces categorical variables/features with one or more features that can only take numerical values. We are going to use a One-Hot Encoder on the ‘adult income’ dataset.

The code:

The Dataset:

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Recommended readings:

1. Prateek Joshi: Artificial Intelligence with Python –

2. Aurelien Geron: Hands-On Machine Learning with Scikit-Learn and TensorFlow:

3. Andreas Müller and Sarah Guido ML book: