Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expected.
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Use advanced feature engineering strategies and select best features from your data set with a si...
Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hops...
🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and ...
Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
Backfill historical OHLC feature in a Feature Store (Hopsworks) using an orchestration tool (Pref...
[UNMAINTAINED] Automated machine learning for analytics & production
Hopsworks - Data-Intensive AI platform with a Feature Store
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
Python Stream Processing
The fastest way to iterate and deploy AI workloads on your own infra. Unobtrusive, debuggable, Py...
Official Python SDK for Kern AI refinery.
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Real-time Feature Pipelines in Python ⚡
Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature ...