GitHub / ahmedshahriar / Customer-Churn-Prediction
Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ahmedshahriar%2FCustomer-Churn-Prediction
PURL: pkg:github/ahmedshahriar/Customer-Churn-Prediction
Stars: 5
Forks: 3
Open issues: 0
License: apache-2.0
Language: HTML
Size: 3.48 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 1 year ago
Pushed at: over 3 years ago
Last synced at: 4 months ago
Topics: binary-classification, catboost, classification-models, customer-churn-prediction, ensemble-classifier, hyperparameter-optimization, kaggle, lightgbm, optuna, pandas-python, scipy, stacking-ensemble, xgboost