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A Lesson & implementation of Decision Tree Classifier in Numpy and Python

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ML Basics (Part-4): Decision Trees

How to build and Apply Decision Trees in Python using Numpy

demo

Requirements

  • Python 3
  • Numpy
  • scikit-learn (needed only for sample data generation)

Running The Notebook

  • Open the Notebook in Google Colab or local jupyter server
  • Install the requirements
  • Restart the kernel if necessary

The tutorial 📃

The full tutorial is available on following links:

On Medium:

https://azad-wolf.medium.com/ml-basics-part-4-decision-trees-cc37d07137b2

On Substack:

https://azadwolf.substack.com/p/ml-basics-part-4-decision-trees

More Details in the Book Chapter 📃