Learn to create Machine Learning Algorithms in Python Data Science enthusiasts. Code templates included.
Sub Category
- Data Science
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Objectives
- Master Machine Learning on Python
- Make accurate predictions
- Make robust Machine Learning models
- Use Machine Learning for personal purpose
- Have a great intuition of many Machine Learning models
- Know which Machine Learning model to choose for each type of problem
- Use SciKit-Learn for Machine Learning Tasks
- Make predictions using linear regression, polynomial regression, and multiple regression
- Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, etc.
Pre Requisites
- Some basic python programming experience.
- Basic understanding of python libraries like numpy, pasdas and matplotlib.(Optional)
- Some high school mathematics.
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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