This is my Jupyter notebook analysing the [datascience.net] (http://www.datascience.net) challenge 25 data. It runs with a Python 3.x kernel.

You need:

• Jupyter
• Python 3.x
• the challenge data here
• A couple of Python lib :
  • Numpy
  • Pandas
  • Sklear
  • Seaborn
  • Matplotlib

To run the notebook, you need Jupyter installed with a Python 3.x kernel. Then just run

> jupyter-notebook-3.x datasciencenet_challenge25.ipynb

in the correct directory.

This notebook is intended as a tutorial.

Files shared under the MIT License.