Machine Learning 04 | Logistic Regression & Decision Tree | DA | GATE Crash Course
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YouTubeGeeksforGeeks GATE English
Machine Learning 04 | Logistic Regression & Decision Tree | DA | GATE Crash Course
We begin with a detailed explanation of the Decision Tree algorithm, covering key concepts like Entropy, Information Gain, and the Gini Index, which are used to determine optimal split points. You will learn the process of building, pruning, and interpreting a decision tree. We then transition to the more robust Random Forest algorithm, which ...
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