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2. [numpy & matplotlib](1_numpy_matplotlib_scipy_sympy/) |
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2. [numpy & matplotlib](1_numpy_matplotlib_scipy_sympy/) |
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- [numpy](1_numpy_matplotlib_scipy_sympy/numpy_tutorial.ipynb) |
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- [numpy](1_numpy_matplotlib_scipy_sympy/numpy_tutorial.ipynb) |
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- [matplotlib](1_numpy_matplotlib_scipy_sympy/matplotlib_simple_tutorial.ipynb) |
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- [matplotlib](1_numpy_matplotlib_scipy_sympy/matplotlib_simple_tutorial.ipynb) |
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- [ipython & notebook](1_numpy_matplotlib_scipy_sympy/ipython_notebook.ipynb) |
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3. [knn](2_knn/knn_classification.ipynb) |
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3. [knn](2_knn/knn_classification.ipynb) |
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4. [kMenas](3_kmeans/knn_classification.ipynb) |
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4. [kMenas](3_kmeans/knn_classification.ipynb) |
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5. [Logistic Regression](4_logistic_regression/) |
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5. [Logistic Regression](4_logistic_regression/) |
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## 其他参考 |
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## 其他参考 |
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* [相关学习参考资料等](References.md) |
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* [安装Python环境](tips/InstallPython.md) |
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* [confusion matrix](tips/confusion_matrix.ipynb) |
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* [一些速查手册](tips/cheatsheet) |
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* [Python tips](tips/python) |
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* 资料速查 |
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* [相关学习参考资料等](References.md) |
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* [一些速查手册](tips/cheatsheet) |
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* Python |
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* [安装Python环境](tips/InstallPython.md) |
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* [Python tips](tips/python) |
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* 机器学习方面 |
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* [Confusion Matrix](tips/confusion matrix.ipynb) |
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* [Datasets](tips/datasets.ipynb) |
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* [构建深度神经网络的一些实战建议](tips/构建深度神经网络的一些实战建议.md) |
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