datawhalechina/statistical-learning-method-solutions-manual
Solutions manual for Li Hang's statistical learning methods textbook with Python implementations of ML algorithms.
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This repository provides detailed solutions for exercises in the Chinese textbook Statistical Learning Methods and Machine Learning Methods, covering traditional ML algorithms (perceptron, SVM, decision trees, EM, HMM) and deep learning topics (CNNs, RNNs, Transformers, GANs). It offers Jupyter notebooks with Python code implementations using Python 3.10+ and PyTorch, serving as a learning companion for students studying ML fundamentals.
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- What is datawhalechina/statistical-learning-method-solutions-manual?
- Solutions manual for Li Hang's statistical learning methods textbook with Python implementations of ML algorithms.
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- Yes — datawhalechina/statistical-learning-method-solutions-manual is an open-source project tracked on heatdrop.
- What language is statistical-learning-method-solutions-manual written in?
- datawhalechina/statistical-learning-method-solutions-manual is primarily written in Jupyter Notebook.
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- datawhalechina/statistical-learning-method-solutions-manual has 2.1k stars on GitHub.
- Where can I find statistical-learning-method-solutions-manual?
- datawhalechina/statistical-learning-method-solutions-manual is on GitHub at https://github.com/datawhalechina/statistical-learning-method-solutions-manual.