Mines-ParisTech-machine-learning-projects

Read an expanded introduction to using R.

Refer to Professor Vert's slides and practical session notes at

http://cbio.ensmp.fr/~jvert/teaching/2011mines/index.html

Possible final projects:

• Linear SVM with quadratic programming.
• Predicting protein family of a protein from its primary sequence data using custom string alignment kernels. Read the paper, and reproduce the results using R and kernlab: http://sunflower.kuicr.kyoto-u.ac.jp/~hiroto/project/homology.html
• Try the custom kernel exercises from P2 and P3 from this course: http://cbio.ensmp.fr/~jvert/svn/tutorials/course/1110Malaysia/

The Expectation Maxmimization (EM) algorithm for Gaussian Mixture and Hidden Markov models in R

Clustering practical session