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.
Classical pattern recognition algorithms implemented from scratch with NumPy: Naive Bayes, Perceptron, Fisher LDA, K-Means, FCM & HMM. | 使用 NumPy 从零实现经典模式识别算法：朴素贝叶斯、感知机、Fisher LDA、K-Means、FCM 与 HMM。
homework for pattern-recognition
A Twitter Hashtag classification project for a simple pattern recognition study
Structural trading research mapping synthetic market engines, actor behavior, spike ignition, timing sync, liquidation flow, and candle microstructure. Built from spatiotemporal pattern recognition, dynamic systems perception, and microstructure intuition.
To associate your repository with the pattern-recognition-study topic, visit your repo's landing page and select "manage topics."