Book7_Visualizations-for-Machine-Learning and Book4_Power-of-Matrix
These are complementary educational resources within the same curriculum series, where Book 4 provides the mathematical foundations (matrix theory) that Book 7 applies to machine learning visualization and implementation.
About Book7_Visualizations-for-Machine-Learning
Visualize-ML/Book7_Visualizations-for-Machine-Learning
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
About Book4_Power-of-Matrix
Visualize-ML/Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
Provides interactive Jupyter notebooks and Python implementations demonstrating matrix operations from foundational linear algebra through applied machine learning algorithms. The content uses the Iris dataset as a recurring pedagogical example, progressively building mathematical concepts with executable code that bridges theory to practical ML applications. Targets learners seeking rigorous mathematical foundations rather than black-box framework usage.
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