A decision tree is a non-parametric supervised learning algorithm, which is utilized for both classification and regression tasks.
https://github.com/EmamulHossen
Repository from Github https://github.comEmamulHossen/Decision_tree_Classifier
Decision Tree is a Supervised learning technique that can be used for both classification and Regression problems
The basic Concept of Decision Tree Classifier
1.Entropy
2.Information Gain
3.Gini Index
4.Root Node
5.Leaf/Terminal Node
6.Branch/Sub-Tree
7.Parent Node
8.Child Node
9.Impurity
10.Splitting
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A decision tree is a non-parametric supervised learning algorithm, which is utilized for both classification and regression tasks.
https://github.com/EmamulHossen
