Customer Churn Prediction (MLOps Project)

This project implements an end-to-end Machine Learning pipeline to predict customer churn using Logistic Regression, Random Forest, and XGBoost.

Project Architecture

• Data Versioning: DVC (Data Version Control)
• Experiment Tracking: MLflow
• Remote Storage & Dashboard: DagsHub
• Workflow: Automated pipeline stages (Ingestion -> Preprocessing -> Training)

How to Reproduce

To replicate this project on your machine, follow these steps:

1. Clone the repository:

   git clone [https://github.com/samadhiy/Churn_MLOPS.git](https://github.com/samadhiy/Churn_MLOPS.git)
   cd Churn_MLOPS