Section: Prerequisites and software installation | Autumn School Machine Learning applied to Bioinformatics - November 2017 | SIB_E-learning

Section outline

Knowledge / skills:

Active participation.

Ready for networking with peers and teachers.

Good programming skills in Python and R.

Basic statistical knowledge.

Basic of terminal (shell) usage

Material:
Here is the list with links to the installation page

R 3.4.2 :

https://stat.ethz.ch/CRAN/

and following packages :

gplots

e1071

class

ROCR

ggplot2

randomForest

caret

nnet

Rstudio Desktop (open source license) :

https://www.rstudio.com/products/rstudio/download/#download

Python :

https://www.python.org/downloads/

and following packages :

-Scikit-learn

-matplotlib

-seaborn

-numpy

-scipy

Jupyter notebook :

http://jupyter.readthedocs.io/en/latest/install.html

Docker :

https://www.docker.com/community-edition

Weka 3.8 :

https://www.cs.waikato.ac.nz/ml/weka/downloading.html