机器学习与算法源代码2： 数据分析的基本武器.zip

[{"title":"（ 28 个子文件 577KB ） 机器学习与算法源代码2： 数据分析的基本武器.zip","children":[{"title":"机器学习与算法源代码2： 数据分析的基本武器","children":[{"title":"源代码汇总_Pycharm格式","children":[{"title":"2.1 Numpy基础.py <span style='color:#111;'> 708B </span>","children":null,"spread":false},{"title":"2.2.1 pandas基础.py <span style='color:#111;'> 1.98KB </span>","children":null,"spread":false},{"title":"2.4.1 综合案例实战 - 股票数据读取与K线图绘制.py <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"data.csv <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"2.4.2 综合案例实战 - 股票数据读取与K线图绘制.py <span style='color:#111;'> 1.57KB </span>","children":null,"spread":false},{"title":"data_new.xlsx <span style='color:#111;'> 5.30KB </span>","children":null,"spread":false},{"title":"data_new.csv <span style='color:#111;'> 33B </span>","children":null,"spread":false},{"title":"2.2.3 pandas基础.py <span style='color:#111;'> 691B </span>","children":null,"spread":false},{"title":"演示.xlsx <span style='color:#111;'> 5.30KB </span>","children":null,"spread":false},{"title":"2.3.2 Matplotlib数据可视化基础.py <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":"2.3.1 Matplotlib数据可视化基础.py <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"股价数据.xlsx <span style='color:#111;'> 99.80KB </span>","children":null,"spread":false},{"title":"2.3.3 Matplotlib数据可视化基础.py <span style='color:#111;'> 1.40KB </span>","children":null,"spread":false},{"title":"data.xlsx <span style='color:#111;'> 10.15KB </span>","children":null,"spread":false},{"title":"演示.csv <span style='color:#111;'> 29B </span>","children":null,"spread":false},{"title":"2.2.4 pandas基础.py <span style='color:#111;'> 849B </span>","children":null,"spread":false},{"title":"2.2.2 pandas基础.py <span style='color:#111;'> 1.95KB </span>","children":null,"spread":false}],"spread":false},{"title":"源代码汇总_Jupyter Notebook格式（推荐）","children":[{"title":"data.csv <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"2.2 pandas基础.ipynb <span style='color:#111;'> 100.37KB </span>","children":null,"spread":false},{"title":"data_new.xlsx <span style='color:#111;'> 5.30KB </span>","children":null,"spread":false},{"title":"data_new.csv <span style='color:#111;'> 33B </span>","children":null,"spread":false},{"title":"2.4 综合案例实战 - 股票数据读取与K线图绘制.ipynb <span style='color:#111;'> 189.90KB </span>","children":null,"spread":false},{"title":"演示.xlsx <span style='color:#111;'> 5.30KB </span>","children":null,"spread":false},{"title":"股价数据.xlsx <span style='color:#111;'> 99.80KB </span>","children":null,"spread":false},{"title":"data.xlsx <span style='color:#111;'> 10.15KB </span>","children":null,"spread":false},{"title":"演示.csv <span style='color:#111;'> 29B </span>","children":null,"spread":false},{"title":"2.3 Matplotlib数据可视化基础.ipynb <span style='color:#111;'> 283.17KB </span>","children":null,"spread":false},{"title":"2.1 Numpy基础.ipynb <span style='color:#111;'> 7.34KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}]