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telco-churn-mlops-pipeline

deaneeth / telco-churn-mlops-pipeline

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Star 18

A end-to-end MLOps pipeline for predicting telecom customer churn, featuring automated data preprocessing, ML model training, experiment tracking with MLflow, distributed training using PySpark, real-time inference via Kafka streaming, Airflow DAG orchestration, and Dockerized REST API deployment.

docker data-science airflow kafka apache-spark telco scikit-learn pyspark flask-api churn-prediction mlops mlflow
  • Updated Oct 20, 2025
  • Jupyter Notebook

Pegah-Ardehkhani / Customer-Churn-Prediction-and-Analysis

Star 14

Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library

python data-science machine-learning telco sklearn machine-learning-algorithms plotly cross-validation classification accuracy feature-engineering churn-prediction imbalanced-data classification-algorithm feature-importance roc-auc gridsearchcv customer-churn-prediction customer-churn customer-churn-analysis
  • Updated Jan 5, 2023
  • Jupyter Notebook

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