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A Machine learning model implementation to predict the number of article shares.

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Online Articles Shares Prediction


The aim of this project is to benchmark a set of machine learning regression models to extract the best suited to predict the number of online articles shares.

The jupyter notebook is in French (It was an academic project,thus the French language was mandatory).

the data used to train and test the different models was taken from this Online Archive.

Execution :


Before executing the python notebook file, please spend some time exploring the meaning of each data feature in the data folder (you can also check the data website source for any further details about it).

Requirements :


  • Python v > 3.6
  • jupyter-notebook
  • sklearn


Author : Benhari Abdessalam

Date : 21/02/2021

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A Machine learning model implementation to predict the number of article shares.

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