Mahanamana/Expresso-Churn-Prediction

DSN Pre-Bootcamp Hackathon: Expresso Churn Prediction Challenge by Data Science Nigeria # Expresso-Churn-Prediction DSN Pre-Bootcamp Hackathon: Expresso Churn Prediction Challenge by Data Science Nigeria This solution will help Expresso to better serve their customers by understanding which customers are at risk of leaving. In this notebook, we just show the basic techniques to improve a Machine Learning model. However, more in-depth data analysis will be helpful to get a better result. (LB: 0.2467xxx) ### process included in the notebook - basic Exploratory Data Analysis - handle categorical features - basic features engineering - cross validation ### possible improvement - EDA improvement - handle outlier - features selection - Stacking method If you have any questions or suggestions do not hesitate to contact me on linkedin