My Jupyter notebook analysing the datascience.net challenge 25 data.
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LICENSE
README.md
datasciencenet_challenge25.ipynb
datasciencenet_challenge25_augmentedDB.ipynb
soumission_avg.csv
soumission_extree.csv
soumission_keras.csv
soumission_rf.csv

README.md

Synopsis

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

Prerequisites

You need:

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

Running

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.

Motivation

This notebook is intended as a tutorial.

License

Files shared under the MIT License.