Machine Learning with Scikit-Learn – 41 – One Hot Encoding – 2

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

After using a One-Hot-Encoder to encode our data in the previous tutorial, in this tutorial we’re training a machine learning algorithm in scikit-learn on it. First we separate the features from the labels, then we train a LogisticRegression classifier on the data.

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: