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Decision Trees
Decision Trees
Curriculum
1 Section
10 Lessons
Lifetime
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Decision Trees
10
1.1
Course Materials (PDF, PPT and Code)
1.2
Introduction to Decision Trees
1.3
Split Criteria
1.4
Stop Criteria, Categorical Data, Missing Values and Implementation Details
1.5
Code – Problem with Greedy Algorithm
1.6
Build a Decision Trees in Python using numpy
1.7
Code – Moving to a Class Implementation
1.8
Code – Decision Trees using Stack and Queue
1.9
Code – Regression Trees
1.10
Cost Complexity Pruning – Theory and Code
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