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