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1
- Agenda
2
- Intro to Machine Learning
3
- Quick Intro to decision tree
4
- Decision Tree in R
5
- Comprehensive Dive into Decision Tree
6
- Advantages, Disadvantages of Decision Tree
7
- Measuring Impurity, Heterogeneity in Decision Tree
8
- Modeling Errors
Description:
This 'Decision Tree in Data Mining' video will help you to comprehensively learn all the concepts of decision tree such as Impurity, Gini index, and pruning. Making Decisions and finding insights from raw data is an essential part of data science. And one such algorithm which is widely used for this purpose is a decision tree. Hence, keeping the importance of the decision tree in mind, we have come up with this comprehensive course.

Decision Tree in Data Mining and Machine Learning - Algorithm Tutorial

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