Machine Learning with R
R is a programming language for statistical computing and graphics that you can use to clean, analyse, and graph data. With its popularity as a statistical programming language rapidly increasing with each passing day, R is becoming one of the most preferred tools for data analysts and data scientists who want to make sense of large amounts of data as quickly as possible. R has a rich set of libraries that can be used for basic as well as advanced data analysis and machine learning tasks, such as CARAT, Random Forest and E1071.0
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Chinese
Learning Outcomes
1. Understand the concepts of machine learning and algorithms
2. Learn the difference between supervised and non-supervised machine learning models
3. Understand basic syntax and functions of R
4. Learn ways to implement machine learning algorithm with R
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