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GitHub / Prabhakar200216 / ml-project-2-customer-churn

A machine learning project that predicts customer churn using decision trees, random forest, and XGBoost.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Prabhakar200216%2Fml-project-2-customer-churn
PURL: pkg:github/Prabhakar200216/ml-project-2-customer-churn

Stars: 0
Forks: 0
Open issues: 0

License: None
Language:
Size: 148 KB
Dependencies parsed at: Pending

Created at: 6 days ago
Updated at: 6 days ago
Pushed at: 6 days ago
Last synced at: 6 days ago

Topics: boxplot, churn-prediction, classification, confusion-matrix, cross-validation, customer, decision-tree-classifier, histogram, machine-learning, matplotlib-pyplot, numpy-arrays, optuna, oversampling, pandas-dataframe, random-forest-classifier, seaborn, xgboost-classifier

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