A decision tree is a decision support tool that uses a tree-like model of decisions and their possible consequences
in this vide you will learn below topics
00:00 Introduction
01:09 How to construct decision tree
02:56 root node vs decision node vs leaf node
04:23 how to make prediction with decision tree
05:28 binary vs non binary conditions
06:21 ID3 vs c4.5 vs CART
07:25 how to choose the root name
16:45 how to chose the decision node
22:14 measure quality of split using gini or entropy
22:58 advantages and disadvantages of decision tree
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introduction,How to construct decision tree,root node vs decision node vs leaf node
,how to make prediction with decision tree ,binary vs non binary conditions , ID3 vs c4.5 vs CART
,how to choose the root name ,how to chose the decision node ,measure quality of split using gini or entropy ,advantages and disadvantages of decision tree
#decisiontree #machinelearningintamil #machinelearning #pythonfordatascience #datascience
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