databricks-mlops

Visual MLOps you host yourself: canvas or Python pipelines, training, registry, serving and drift monitoring. Export models as standalone APIs, or run them on Databricks with MLflow.

End-to-end oil supply chain daily demand prediction using Databricks, PySpark, Feature Store, MLflow, and Random Forest.

Income classification (>$50K) on the Adult Income dataset: XGBoost, LightGBM and CatBoost tuned via MLflow feature-combination experiments on Databricks and compared on a shared test set (F2 ≈ 0.79, AUC-ROC ≈ 0.91).

Big Data and MLOps Final Project: Predicting arrest outcomes from Chicago crime data using Spark & MLOps

My experiments with Databricks

Playground repository for trying and testing various MLOps concepts with MLFlow

| Databricks MLOps Pipeline for dev and prod training and deploy |