MLOps Project

This is an MLOps project for CSGO data analysis and model training.

Features

• Data pipeline with Apache Airflow
• Model training with PyTorch and scikit-learn
• MLflow for experiment tracking
• DVC for data versioning
• Monitoring with Prometheus
• FastAPI for API serving

Setup

1. Install dependencies:

   poetry install
   

2. Run the data pipeline:

   airflow dags unpause csgo_data_pipeline
   

Project Structure

• dags/: Airflow DAGs
• src/: Source code
• models/: Trained models
• data/: Data files
• notebooks/: Jupyter notebooks
• tests/: Test files
• config/: Configuration files
• docker/: Docker files
• kubernetes/: Kubernetes manifests