Christonikos
Machine Learning Engineer. Biomedical data science. Neuroscience—Machine Learning.
Paris, France.
Pinned Repositories
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."
Disentangling
Repo for the project/paper: Disentangling Hierarchical and Sequential Computations during Sentence Processing
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.
Christonikos's Repositories
Christonikos/Auto_Insurance
Christonikos/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."
Christonikos/Disentangling
Repo for the project/paper: Disentangling Hierarchical and Sequential Computations during Sentence Processing
Christonikos/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."
Christonikos/Electrocardiography
Christonikos/intra_prep
Christonikos/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."
Christonikos/new_office
Christonikos/ny_short_rental_prediction
Fully functional ML pipeline that adheres to MLOPs best practices for the prediction of AIRBNB rent prices in NYC.