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Description: 100-Days-Of-ML-Code中文版. Contribute to MeLikeJava/100-Days-Of-ML-Code development by creating an account on GitHub.

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	https://github.com/MeLikeJava/100-Days-Of-ML-Code#机器学习100天
Avik-Jain	https://github.com/Avik-Jain/100-Days-Of-ML-Code
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	https://github.com/MeLikeJava/100-Days-Of-ML-Code#数据预处理--第1天
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	https://github.com/MeLikeJava/100-Days-Of-ML-Code#多元线性回归--第3天
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	https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Info-graphs/Day%203.png
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	https://github.com/MeLikeJava/100-Days-Of-ML-Code#逻辑回归--第6天
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	https://github.com/MeLikeJava/100-Days-Of-ML-Code#决策树--第25天
决策树实现	https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Code/Day%2025_Decision_Tree.md
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	https://github.com/MeLikeJava/100-Days-Of-ML-Code#微积分的本质--第30天
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	https://github.com/MeLikeJava/100-Days-Of-ML-Code#微积分的本质--第31天
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	https://github.com/MeLikeJava/100-Days-Of-ML-Code#随机森林--第33天
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	https://github.com/MeLikeJava/100-Days-Of-ML-Code#随机森林--第34天
随机森林实现	https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Code/Day%2034_Random_Forests.md
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这里	https://www.youtube.com/watch?v=wQ8BIBpya2k&t=19s&index=2&list=PLQVvvaa0QuDfhTox0AjmQ6tvTgMBZBEXN
notebook	https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Code/Day%2039.ipynb
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#第2部分--深度学习基础pythontensorflow和keras--第40天
这里	https://www.youtube.com/watch?v=wQ8BIBpya2k&t=19s&index=2&list=PLQVvvaa0QuDfhTox0AjmQ6tvTgMBZBEXN
notebook	https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Code/Day%2040.ipynb
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#第3部分--深度学习基础pythontensorflow和keras--第41天
这里	https://www.youtube.com/watch?v=wQ8BIBpya2k&t=19s&index=2&list=PLQVvvaa0QuDfhTox0AjmQ6tvTgMBZBEXN
notebook	https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Code/Day%2041.ipynb
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#第4部分--深度学习基础pythontensorflow和keras--第42天
这里	https://www.youtube.com/watch?v=wQ8BIBpya2k&t=19s&index=2&list=PLQVvvaa0QuDfhTox0AjmQ6tvTgMBZBEXN
notebook	https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Code/Day%2042.ipynb
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#k-均值聚类--第43天
作者网站	http://www.avikjain.me/
动画	http://shabal.in/visuals/kmeans/6.html
	https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Info-graphs/Day%2043.jpg
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#k-均值聚类--第44天
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#深入研究--numpy--第45天
这里	https://github.com/jakevdp/PythonDataScienceHandbook
高清中文版pdf	https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Other%20Docs/Python%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E6%89%8B%E5%86%8C.zip
2 NumPy入门	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.00-Introduction-to-NumPy.ipynb
2.1 理解Python中的数据类型	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.01-Understanding-Data-Types.ipynb
2.2 NumPy数组基础	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.02-The-Basics-Of-NumPy-Arrays.ipynb
2.3 NumPy数组的计算：通用函数	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.03-Computation-on-arrays-ufuncs.ipynb
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#深入研究--numpy--第46天
2.4 聚合：最小值、最大值和其他值	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.04-Computation-on-arrays-aggregates.ipynb
2.5 数组的计算：广播	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.05-Computation-on-arrays-broadcasting.ipynb
2.6 比较、掩码和布尔运算	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.06-Boolean-Arrays-and-Masks.ipynb
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#深入研究--numpy--第47天
2.7 花哨的索引	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.07-Fancy-Indexing.ipynb
2.8 数组的排序	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.08-Sorting.ipynb
2.9 结构化数据：NumPy的结构化数组	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.09-%3Cbr%3EStructured-Data-NumPy.ipynb
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#深入研究--pandas--第48天
3 Pandas数据处理	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.00-Introduction-to-Pandas.ipynb
3.1 Pandas对象简介	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.01-Introducing-Pandas-Objects.ipynb
3.2 数据取值与选择	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.02-Data-Indexing-and-Selection.ipynb
3.3 Pandas数值运算方法	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.03-Operations-in-Pandas.ipynb
3.4 处理缺失值	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.04-Missing-Values.ipynb
3.5 层级索引	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.05-Hierarchical-Indexing.ipynb
3.6 合并数据集：ConCat和Append方法	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.06-Concat-And-Append.ipynb
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#深入研究--pandas--第49天
3.7 合并数据集：合并与连接	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.07-Merge-and-Join.ipynb
3.8 累计与分组	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.08-Aggregation-and-Grouping.ipynb
3.9 数据透视表	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.09-Pivot-Tables.ipynb
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#深入研究--pandas--第50天
3.10 向量化字符串操作	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.10-Working-With-Strings.ipynb
3.11 处理时间序列	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.11-Working-with-Time-Series.ipynb
3.12 高性能Pandas：eval()与query()	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/03.12-Performance-Eval-and-Query.ipynb
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#深入研究--matplotlib--第51天
4 Matplotlib数据可视化	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/04.00-Introduction-To-Matplotlib.ipynb
4.1 简易线形图	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/04.01-Simple-Line-Plots.ipynb
4.2 简易散点图	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/04.02-Simple-Scatter-Plots.ipynb
4.3 可视化异常处理	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/04.03-Errorbars.ipynb
4.4 密度图与等高线图	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/04.04-Density-and-Contour-Plots.ipynb
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#深入研究--matplotlib--第52天
4.5 直方图	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/04.05-Histograms-and-Binnings.ipynb
4.6 配置图例	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/04.06-Customizing-Legends.ipynb
4.7 配置颜色条	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/04.07-Customizing-Colorbars.ipynb
4.8 多子图	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/04.08-Multiple-Subplots.ipynb
4.9 文字与注释	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/04.09-Text-and-Annotation.ipynb
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#深入研究--matplotlib--第53天
4.12 画三维图	https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/04.12-Three-Dimensional-Plotting.ipynb
	https://github.com/MeLikeJava/100-Days-Of-ML-Code#层次聚类--第54天
动画演示	https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Other%20Docs/%E5%B1%82%E6%AC%A1%E8%81%9A%E7%B1%BB.gif
	https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Info-graphs/Day%2054.jpg
Readme	https://github.com/MeLikeJava/100-Days-Of-ML-Code#readme-ov-file
MIT license	https://github.com/MeLikeJava/100-Days-Of-ML-Code#MIT-1-ov-file
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