deaneeth/telco-churn-mlops-pipeline

An 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.

语言：Jupyter Notebook · GitHub 星标：19 · Fork：3

话题：airflow · apache-spark · churn-prediction · data-science · docker · flask-api · kafka · mlflow

在 GitHub 上查看原仓库