Tunisie Telecom Data Science

Description

  • Examined Tunisie Telecom data trends of 92 thousand customers including call usage,
    messaging patterns, chosen offer and plan, Using Python.
  • These dashboards were analysed to identify opportunities to increase revenue,
    optimize cost, and improve customer retention.
  • Converted Jupyter Notebooks To HTML Files To Be Hosted.
  • NB : To respect the organisation privacy, Data was faked.

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Variables Trends Analysis

Data Visualisation

Pretty PCA Using adjustText

Clustering Using CAH & Kmeans

Statut Classification & Prediction Using LogisticRegression