henriquebotelhogomes/telco_churn
š SoluĆ§Ć£o orientada a produĆ§Ć£o para prediĆ§Ć£o de Churn (Telco). Desenvolvida com Python 3.12, FastAPI, XGBoost e scikit-learn pipelines. Inclui prĆ”ticas de MLOps: Docker, CI/CD, testes (Pytest), linting (Ruff) e gestĆ£o moderna com uv.
Stars
1
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 15, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/henriquebotelhogomes/telco_churn"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
retentioneering/retentioneering-tools
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web...
iterative/demo-bank-customer-churn
Demo DVC project training a classification model on tabular data
junfengn-ctrl/uplift-modeling-customer-retention
End-to-end uplift modeling pipeline for customer retention using T-Learner and X-Learner with...
Pradnya1208/Telecom-Customer-Churn-prediction
Customers in the telecom industry can choose from a variety of service providers and actively...
gattsu001/Telecom-Churn-Predictor
Predicts which telecom customers are likely to churn with 95% accuracy using engineered features...