Skip to content

README.md

Latest commit

 

History

History
41 lines (31 loc) · 1.34 KB

README.md

File metadata and controls

41 lines (31 loc) · 1.34 KB
Raw

About The Project

Authors :

  • Achraf BEN HAMOU
  • Abou SANOU
  • Amine RABHI
  • Ali Hani ABID

This study shows two analysis. The first is prediction task using several models (DecisionTree, SVM, Xgbost....) The second is Social mining task in order to get mre insight about the user network from Twiter.

How runs this project :

Prerequisites

In order to be able to run this project, you must install some packages. From the root of the project run with command:

pip install -r requirements.txt

If the pip tool isn't installed we can

Running

From the root folder of project run the following command to launch the notebook server

jupyter notebook

This command will launh a pageweb where you can run and check the notebook available in the project.

Organisation

  • Prediction_task.ipynb : notebook contained all process to build classification models and so on.
  • Graph_analysis.ipynb : notebook where we analysed the graph where the file and the sim_matrix.
  • data : where the dataset is stored in the project.
  • Figures : where the figures(histograms....) is stored
  • models : where the persistance of the models built is stored.
  • pdf : we also provided the pdf version of the different notebook.
  • results_test : where the test file is stored. We already fill theses files.