Training & Visualizing a Decision Tree ,predicting and checking sensitivity
Training & Visualizing a Decision Tree ,predicting and checking sensitivity
Coursera Project Network via Coursera
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Overview
Syllabus
- Project Overview
- Like SVM's, decision trees are versatile ML algorithm that can perform both classification and regression tasks, and even multioutput tasks. They are powerful algorithms, capable of fitting complex datasets. Decision trees are also the fundamental components of Random forests which are among the most powerful ML algorithms .
In this project, we will learn how to train, visualize and make predictions with decision trees.
Taught by
Ashish Dikshit
