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Machine Learning with R

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



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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