Decision Tree (Basic Intuition - Entropy, Gini Impurity & Information Gain) | NerdML
This video will help you to understand about basic intuition of Entropy, Information Gain & Gini Impurity used for building Decision Tree algorithm. We will mathematically solve the problem. I have divided Decision Tree tutorial into several parts which will cover basic intuition, Classification problem solving & regression problem solving.
Below topics are explained in this video:
1). Agenda (00:40)
2). Introduction to Decision Tree (01:27)
3). Entropy (03:40)
4). Information Gain (07:53)
5). Gini Impurity (11:12)
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Prerequisites
Basic understanding of Linear Algebra, Probability, Calculus, Matrix & Python programming including pandas, numpy, scikit learn & some visualization tools.
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Creator : Rahul Saini
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