Machine Learning on a wine dataset

Using this dataset: https://archive.ics.uci.edu/ml/datasets/wine+quality

For the FS2018 course in Machine Learning at University of Zurich

Topics

Clustering, Classification and PCA

To run

1. Don't forget to copy data folder with same folder structure.
2. Install the requirements from the yml file, maybe source deactivate; needed instead of activate.

source activate myenvironment;
conda env update -f environment.yml; #use path to env file   

3. Use a jupyter notbook with a python 3.5 environment.

All the code and explanations can be found inside of those notebooks.

The notebooks can be used interactively, as there is a waiting time of max 30s for a few tasks.
There is a yml file in the repo to install the additional dependencies.