All of the code is embedded in the ipython/Jupyter notebook. This was installed with Anaconda 3.5.2 for Python 3.5.
Seaborn
was used for the visualisations in combination with matplotlib
. numpy
, scikit
are required as well.
For the machine learning part, sklearn
was utilized.
Commands after installing Anaconda:
$ conda update conda
$ conda update ipython
$ conda install seaborn
The dependencies / jupyter can also be installed through the usual channels (pip
)
A pre-rendered report is already available in HTML as well.
The notebook can be opened by typing:
$ ipython notebook
in the folder where the project was extracted.