Machine_Learning：包含用于我的个人网站的课程和代码
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2021-02-15
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Machine_Learning-master.zip （30个子文件） 
Machine_Learning-master optimize 
negative_derivative.png 47KB
gradient_animation.gif 2.46MB gradient_desc_animation_global.gif 2.29MB positive_derivative.png 46KB minima.png 16KB
gradient_descent.py 3KB minima.py 679B gradient_desc_animation_jump.gif 2.45MB README.md 29B gradient_desc_animation_local.gif 2.37MB .gitattributes 66B Unit_Test images linux_pytest.png 21KB sample_script.py 128B sample_script.pyc 563B test_sample_script.py 548B README.md 69B conftest.py 328B __pycache__ test_sample_script.cpython-27-PYTEST.pyc 4KB sample_script.cpython-38.pyc 401B Introduction .ipynb_checkpoints Machine Learning - A simple approach-checkpoint.ipynb 69KB Machine Learning - A simple approach.ipynb 69KB Machine Learning - A simple approach_files Machine Learning - A simple approach_18_0.png 27KB
Machine Learning - A simple approach.html 325KB Decision Trees .ipynb_checkpoints Gini Impurity Measure-checkpoint.ipynb 26KB Making Decisions with Trees-checkpoint.ipynb 28KB Entropy & Information Gain.ipynb 16KB Gini Impurity Measure.ipynb 26KB Making Decisions with Trees.ipynb 28KB image architecture.PNG 18KB README.md 2KB资源评论
