Learn to create machine learning algorithms in Python for students and professionals
Sub Category
- Data Science
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Objectives
- Learn Python programming and Scikit learn applied to machine learning regression
- Understand the underlying theory behind simple and multiple linear regression techniques
- Learn to solve regression problems (linear regression and logistic regression)
- Learn the theory and the practical implementation of logistic regression using sklearn
- Learn the mathematics behind decision trees
- Learn about the different algorithms for clustering
Pre Requisites
- Experience with the basics of Python
- Readiness, flexibility, and passion for learning
- Basic mathematical skills
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)