Backfill historical OHLC feature in a Feature Store (Hopsworks) using an orchestration tool (Prefect).
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Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
Hopsworks - Data-Intensive AI platform with a Feature Store
The practitioner's forecasting library
Python Prefect tutorial
Prefect is a workflow orchestration tool empowering developers to build, observe, and react to da...
Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hops...
[UNMAINTAINED] Automated machine learning for analytics & production
An open source python library for automated feature engineering
Real-time Feature Pipelines in Python ⚡
Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature ...
Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, an...
Code repository for the online course Feature Engineering for Machine Learning
🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and ...
Feature engineering package with sklearn like functionality
Train and Deploy an ML REST API to predict crypto prices, in 10 steps