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pattern-recognition-implementation

This repository is about Python-implemented classic machine learning algorithm/model based on my Homework of 2018 spring Tsinghua Pattern Recognition course instructed by Professor Changshui Zhang, including:

  • Maximum Likelihood Estimation
  • Expectation Maximization
  • Support Vector Machine
  • Nearest Neighbor
  • Dicision Tree
  • Dimension Reduction algorithm
  • Ensemble learning
  • Clustering
  • Feature Selection

Use for study purpose, understand it by re-implementation but not just copy & paste.