This repository is made to share the pattern-recognition review sessions notes for University of Isfahan. It contains a summary to most topics We've learned in pattern recognition course.
This repository is made to save my pattern recognition university course homework.
Reverse‑engineering synthetic market engines through a 20‑layer structural trading schema and a full SQL Proto‑Database. Includes actor classification, spike ignition mapping, timing sync, candle tracking, liquidation modeling, and case studies built from 32,000+ executed trades.
homework for pattern-recognition
A Twitter Hashtag classification project for a simple pattern recognition study
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