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)
- basic Exploratory Data Analysis
- handle categorical features
- basic features engineering
- cross validation
- EDA improvement
- handle outlier
- features selection
- Stacking method
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