data-mining-2018

Lecture on principles of data mining for the course "WETS1050 Environmental change in aquatic ecosystems" at JYU.

Running the notebooks yourself

Easiest way is to use either Anaconda or miniconda, and install the required dependencies in a new environment using conda create:

conda create --name datamining2018 --file requirements.txt

Then activate the environment and run the notebook:

Linux:

. activate datamining2018
jupyter notebook

Windows:

activate datamining2018
jupyter notebook

Matti A. Eskelinen (matti.a.eskelinen at student.jyu.fi) Faculty of information technology, University of Jyväskylä