# 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:
   ```bash
   poetry install
   ```

2. Run the data pipeline:
   ```bash
   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