Weizhi-Zhao/getting-started-with-pattern-recognition
华中科技大学 人工智能与自动化学院 模式识别代码（课程成绩：94）
This collection of Python code provides fundamental algorithms for pattern recognition. It takes various datasets (e.g., for classification or regression tasks) and outputs models that can make predictions, along with visualizations of the computational results. It's intended for students or practitioners learning or implementing core machine learning concepts.
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Use this if you are a student or educator looking for clear, modular, and well-commented Python implementations of classic pattern recognition algorithms using only NumPy.
Not ideal if you need production-ready, highly optimized code for large-scale data analysis or if you prefer using deep learning frameworks like PyTorch or TensorFlow.
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Feb 07, 2024
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