INFOF422 - Statistical Foundations of Machine Learning - Academic year 2018-2019

This page contains the material for the hands-on classes of ULB INFO-F-422.

N.B This repository is outdated. For the most recent version of the materials (Academic year 2020-2021) have a look here.

Getting ready with R notebooks

The use of the notebooks requires to install:

Jupyter Notebook, see installation instructions here.
IRkernel, see installation instructions here. N.B: You may need to restart R after Jupyter installation in order to be able to install IRkernel.

Once installed, clone this repository and start jupyter notebook:

git clone https://github.com/jdestefani/StatisticalFoundationsML_INFOF422.git
cd StatisticalFoundationsML_INFOF422
jupyter notebook

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
1_IntroductionR		1_IntroductionR
2_StatisticalEstimation		2_StatisticalEstimation
3_LinearModels		3_LinearModels
4_PredictionsTreeBased		4_PredictionsTreeBased
5_PredictionsNetworkBased		5_PredictionsNetworkBased
6_EnsemblesFeatureSelection		6_EnsemblesFeatureSelection
README.md		README.md