In this video series we are going to code a decision tree classifier from scratch in Python using just numpy and pandas. And in this video we are going to create the functions that will be able to classify new, unknown examples based on the decision tree which our algorithm built. And then, we are also going to calculate the accuracy to see how good our tree is at classifying new, unknown examples.
Links:
GitHub repo: https://github.com/SebastianMantey/De...
Corresponding blog post: https://www.sebastian-mantey.com/code...
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