Data mining based on Introduction to Statistical learning. All models covered would be implemented in Rstudio.

This course will provide an introduction to main topics in data mining / statistical learning, including:

• statistical foundations
• data visualization
• classification
• regression
• clustering

Emphasis will be on statistical learning methodology and the models, intuition, and assumptions behind it, as well as applications to real-world problems.

Recommended resource for further and detailed review of ISIR:

• Both lectures slides and videos can be found at Introduction to Statistical Learning With Applications in R.
• I have reviewed this book and post detailed ISIR Lecture notes as well.