- Main Blog
- Notes and R-code implementation for various topics covered in 732A99 Machine Learning course offered at Linköping University.
- R was the language of choice for this course and sometimes I really struggled to implement certain concepts. This repo is an ateempt to record some if's and but's to keep in mind while programmingin R. Hope this helps!
- Primary source of reference was Bishop's Pattern Recognition and Machine Learning. All the equations quoted within code snippets or notes can be found in this book.
- Secondary source of reference was The Elements of Statistical Learning (ESL)
- PRML R Implementation : João Neto's R codes are great. Do check them out.
- ISLR 2nd-Edition : 2nd Edition came out recently. Also deals with topics such as Multiple Testing and Neural Networks. Everything is in R-language.
- Applied Predictive Modeling : Covers important ML ALgo's and their R-implementation.
NOTE: In case I have missed to give proper attribution and reference, please raise an issue and I shall correct it.