pyML

Notebook practice + Machine learning library implemented in pure numpy

计划的章节

1.线性回归

2.罗辑回归

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
.ipynb_checkpoints		.ipynb_checkpoints
pyML		pyML
01_Jupyter Notebook 基本操作.ipynb		01_Jupyter Notebook 基本操作.ipynb
02_numpy数组操作基础.ipynb		02_numpy数组操作基础.ipynb
03_matplotlib基础.ipynb		03_matplotlib基础.ipynb
04_数据加载和探索.ipynb		04_数据加载和探索.ipynb
05_kNN算法.ipynb		05_kNN算法.ipynb
06_简单线性回归.ipynb		06_简单线性回归.ipynb
07_梯度下降.ipynb		07_梯度下降.ipynb
08_PCA.ipynb		08_PCA.ipynb
09_逻辑回归.ipynb		09_逻辑回归.ipynb
README.md		README.md
Untitled.ipynb		Untitled.ipynb

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