Machine Learning Random Forest with Python from Scratch - Impurity

Machine Learning Random Forest with Python from Scratch - Impurity

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Wayground Content

FREE Resource

The video tutorial introduces the concept of impurity in data sets, explaining its significance in decision tree building. It details how impurity is calculated, focusing on the Gini impurity index. The tutorial provides a step-by-step guide to implementing the Gini impurity calculation in code, emphasizing the importance of minimizing impurity for effective data analysis.

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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