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customers_behaviour_segmentation

Project part of OpenClassrooms Data Scientist path

Our aim is to develop a tool understanding a sales website customers behaviour through unsupervised learning. Then we will build a second tool predicting customers profiles based on the behaviours previously determined.

Steps are as follow :

  • Clean data, explore data
  • Find customers behaviours through clustering (unsupervised learning)
  • Predict new customers behaviours through a classification model (supervised learning)

Files of interest :

  • 1-cleaning_exploring.ipynb : Cleaning notebook
  • 2-customers_clustering.ipynb : Unsupervised learning for customers segmentation
  • 3-customers_classification.ipynb : Supervised learning for customers behaviour prediction