Machine Learning with R

Learn how to use the R programming language for data science and machine learning and data visualization

Sub Category

• Data Science

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Objectives

• Read In Data Into The R Environment From Different Sources
• Implement Unsupervised/Clustering Techniques Such As k-means Clustering
• Implement Supervised Learning Techniques/Classification Such As Random Forests
• Be Able To Harness The Power Of R For Practical Data Science

Pre Requisites

1. No prior knowledge of machine learning required. Basic knowledge of R

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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