Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expected.
What is the Paulescu/real-time-technical-indicators GitHub project? Description: "Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expected.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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