Beginning Data Science with Python and Jupyter by Alex Galea

Author:Alex Galea
Language: eng
Format: epub
Publisher: Packt Publishing

Note

Decision trees can be used to model a mix of continuous and categorical data, which make them very useful. Furthermore, as we will see later in this lesson, the tree depth can be limited to reduce overfitting. For a detailed (but brief) look into the decision tree algorithm, check out this popular StackOverflow answer: https://stackoverflow.com/a/1859910/3511819.

There, the author shows a simple example and discusses concepts such as node purity, information gain, and entropy.

Training two-feature classification models with scikit-learn

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