Machine Learning with R
- Duration
- 40 Hours
- Language
- Chinese
- Category
- Web 3.0
- Course code
- WD_08
Learning outcomes
- check_circle Understand the concepts of machine learning and algorithms
- check_circle Learn the difference between supervised and non-supervised machine learning models
- check_circle Understand basic syntax and functions of R
- check_circle Learn ways to implement machine learning algorithm with R
Description
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
