christonikos Goto Github PK

auto_insurance

customer_churn_prediction

"Predict customer churn with advanced ML tools. Harness W&B for real-time metric monitoring, MLflow for experiment tracking, and Hydra for streamlined configuration and tuning. Enhance model performance and retention strategies."

dynamic-risk-assesment

"Dynamic risk assessment using ML, W&B, and drift detection. Monitor and visualize metrics, detect data and model drifts, and generate insightful reports for effective decision-making and risk management."

electrocardiography

intra_prep

machine_learning_cloud_platform

"Efficiently deploy, manage, and scale ML models on a cloud platform using FastAPI. Streamline model integration with RESTful APIs, and leverage best practices for containerisation, CI/CD pipelines, and versioning."

new_office

ny_short_rental_prediction

Fully functional ML pipeline that adheres to MLOPs best practices for the prediction of AIRBNB rent prices in NYC.