Notebook get_data.ipynb: connect to Azure blob storage and downloads the file to folder raw_data
Notebook Exploration and benchmark.ipynb: performs first exploration and modelling with Random Forest over basic set of customer info
Notebook Feature engineering and modelling.ipynb: builds features from the different data sources and compares 3 models for churn prediction. Qualitative insights provided as well.
Presentation.pdf: pdf file containing the presentation of the work