ML 101: Decision Trees — From Simple Flowcharts to Powerful Models
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ML 101: Decision Trees — From Simple Flowcharts to Powerful Models
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About this listen
In this Machine Learning 101 episode, we break down Decision Trees—one of the most intuitive ML models—using simple, everyday examples you can picture like a flowchart. You’ll learn how trees make decisions step by step, how they handle classification (yes/no choices like “take an umbrella?”) and regression (predicting numbers like delivery time), and why trees can overfit if they grow too deep. For more advanced listeners, we cover how splits are chosen (e.g., Gini vs entropy/information gain, and MSE reduction for regression trees). We finish with evaluation basics and a quick note on bias and responsible use.
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