Serverless Machine Learning for Titanic Dataset

A study project to explore Hopsworks - a fraud detection classifier. The project was inspired by one of the tutorials available in the Hopsworks documentation.

shows how to backfill Energy Consumption feature in a Feature Store (Hopsworks) using an orchestration tool (Prefect).

Predicting Snow Conditions in Passo Tonale (Trento, Italy)

Backfill historical OHLC feature in a Feature Store (Hopsworks) using an orchestration tool (Prefect).

Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expected.

Python - Java/Scala API for the Hopsworks feature store

Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.

Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)

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