Analytics/ Supervised Machine Learning/ Data Science: CHAID / CART / Random Forest etc. workout (Python demo at the end)
Sub Category
- Data Science
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Objectives
- Get Crystal clear understanding of decision tree
- Understand the business scenarios where decision tree is applicable
- Become comfortable to develop decision tree using R statistical package
- Understand the algorithm behind decision tree i.e. how does decision tree software work
- Understand the practical way of validation, auto validation and implementation of decision tree
Pre Requisites
- The course is fairly simple but it will help if they understand how to read excel formula
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)