Link to challenge: https://vib-hackathon.hackerearth.com/
VIB wants to come up with an innovation for making use of their existing data to improve the mobile banking customer experience. VIB is excited about the out-of-the-box ideas that can determine factors that make our customers leaving the MyVIB mobile application.
Provide a Word/PDF document in which clearly demonstrates:
Definition of customers who leave MyVIB application based on given dataset.
Brief proposal describing some Data Preprocessing strategies (involving Feature engineering, if any) and Functionality in Data Mining (E.g. Regression, Classification, Clustering, so forth). Give appropriate reasons.
Download data here https://myvib-hackathon2021.s3-ap-southeast-1.amazonaws.com/MyVIB-Hackathon-2021/Track+1+Datarathon+1.0.zip
Understanding business context in a correct way.
Give a clear and appropriate definition of customers who leave MyVIB application based on our dataset.
Appropriately perform exploratory data analysis with best Feature engineering.
A brief model proposal which describes which functionality in data mining (e.g. regression, classification, clustering, and so forth) you use.