xiong35/HUST-MachineLearning
华中科技大学机器学习作业&课设. Solutions to HUST ML class tasks.
This project offers pre-written solutions for common machine learning tasks, primarily focused on assignments given at HUST (Huazhong University of Science and Technology). It provides code examples for implementing algorithms like kNN, Perceptron, and Naive Bayes, along with applications such as wine and cancer cell classification. Students taking machine learning courses will find this useful for understanding and completing their coursework.
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Use this if you are a student at HUST taking a machine learning course and need assistance with specific assignments, or if you want to quickly see working examples of fundamental machine learning algorithms.
Not ideal if you are a professional looking for production-ready code or a comprehensive machine learning library, as this is primarily a collection of academic assignment solutions.
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Python
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MIT
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Nov 23, 2021
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