Churn Classification Engine
0.82 F1 across 7,000+ users.
- Python
- scikit-learn
- seaborn
End-to-end classification pipeline (logistic regression + random-forest ensembles) segmenting 7,000+ users by churn probability.
0.82 F1 across 7,000+ users.
End-to-end classification pipeline (logistic regression + random-forest ensembles) segmenting 7,000+ users by churn probability.