This course covers topics such as the key concepts of statistical learning and regression modelling with applications; linear models; time series models; principal components analysis; decision trees; and cluster analysis with their applications in R. Three lecture hours per week plus a one hour lab per week. 06-01-2021-07-04-2021 Web Monday, Wednesday, Friday 08:30AM - 09:20AM, Room to be Announced
- Teacher: Beibei Jia
- Teacher: MATH TBA