GitHub - formigola90/info-f-422

INFO-F-422

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

The use of the notebooks requires to install:

Jupyter Notebooks, see installation instructions here. The simplest way is to rely on Anaconda. The jupyter program is in the binfolder of anaconda. Add the folder to your PATH.
The IRkernel, see installation instructions here. NB: 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/Yannael/info-f-422
cd info-f-422
jupyter notebook

Windows: If you have the error 'Failed to create Anaconda menus", try installing from the latest zip archive at https://repo.continuum.io/archive/.winzip.
In case of dead kernel, look at the error message in your terminal and see if you have packages missing. Make sure to upgrade to the latest R version.

Name		Name	Last commit message	Last commit date
Latest commit History 35 Commits
Project		Project
datasets		datasets
1-intro_R-with-solutions.ipynb		1-intro_R-with-solutions.ipynb
1-intro_R.ipynb		1-intro_R.ipynb
2-Estimation-with-solutions.ipynb		2-Estimation-with-solutions.ipynb
2-Estimation.ipynb		2-Estimation.ipynb
3-MaximumLikelihood-with-solutions.ipynb		3-MaximumLikelihood-with-solutions.ipynb
3-MaximumLikelihood.ipynb		3-MaximumLikelihood.ipynb
4-Linear-models-with-solutions.ipynb		4-Linear-models-with-solutions.ipynb
4-Linear-models.ipynb		4-Linear-models.ipynb
5-Predictions-with-solutions.ipynb		5-Predictions-with-solutions.ipynb
5-Predictions.ipynb		5-Predictions.ipynb
6-Ensemble-and-feature-selection-with-solutions.ipynb		6-Ensemble-and-feature-selection-with-solutions.ipynb
6-Ensemble-and-feature-selection.ipynb		6-Ensemble-and-feature-selection.ipynb
README.md		README.md