Question Description
I’m working on a computer science writing question and need an explanation to help me understand better.
Chapter 3:
- Note the basic concepts in data classification.
- Discuss the general framework for classification.
- What is a decision tree and decision tree modifier? Note the importance.
- What is a hyper-parameter?
- Note the pitfalls of model selection and evaluation.
Please refer to textbook: – https://github.com/FaizSaeed/Data-Science-Course/b…
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