this are my personal notes on datamining course of professor Sartori Claudio
it's possible to use the repo without obsidian but in order to get the best experience you need to install it
There is a folder for each macro-argument of the course inside the pages folder, each folder contains a brief recap of each argument
for each macro-argument there is a conceptual map in the root folder for a quick overview of the arguments structure
the labs folder contains the exercises of the course and my personal exercises, it's meant to be use with a python virtual environment but you can use it with your system-wide pip installation
# enter inside labs directory
cd datamining/labs
# create virtual env
python -m venv env
# activate virtual env
source env/bin/activate
# install dependencies
pip install -r requirements.txtthere are also some questions from the pasts exams here and here