Business Analytics - MAIBI

This repository contains the notebooks for the course of Business Analytics, given at the master AI for Business and Industry.

Setting up VSC OnDemand

• Browse to https://ondemand.hpc.kuleuven.be/ and log in
• Click on Login Server Shell Access
• Test if Conda is installed by running conda --version. If this runs without an error message containing something like command not found, Conda is installed.
• If you do get a command not found error, you can install Conda as follows:

wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh -b -p $VSC_DATA/miniconda3
echo 'export PATH="${VSC_DATA}/miniconda3/bin:${PATH}"' >> ~/.bashrc
source ~/.bashrc

• Run the following commands:

cd $VSC_DATA
git clone https://github.com/florisdf/maibi_ba.git
cd maibi_ba
conda create -n maibi_ba r-essentials r-base
source activate maibi_ba
Rscript install.R

• Go back to https://ondemand.hpc.kuleuven.be/

• Click on Jupyter Lab

• Fill in the fields:

  • Partition: interactive
  • Number of hours: 4 (can have a value up to 16)
  • Number of nodes: 1
  • Required memory per core in megabytes: 3400
  • Number of cores: 4
  • Number of GPUs: 0

• Click Launch

• Once Jupyter is running, click Connect to Jupyter Lab

• For the notebooks in the directory sentiment, you need to choose the R kernel maibi_ba.

• For the notebooks in the directory cost_sensitive_learning, you need to choose the Python kernel Python 3 (ipykernel).