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泰坦尼克幸存者预测import pandas as pdfrom sklearn.tree import DecisionTreeClassifierfrom sklearn.model_selection import train_test_splitfrom sklearn.model_selection import GridSearchCVfrom sklearn.model_selection import cross_val_scoreimport matplotlib.pyplot

决策树和随机森林

回归实践

回归

pytorch-手写数字识别导入工具函数import torchfrom matplotlib import pyplot as pltdef plot_curve(data): fig = plt.figure() plt.plot(range(len(data)), data, color='blue') plt.legend(['value'], loc='upper right') plt.xlabel('step') plt.ylabel

**第一天 python的学习**基本数据类型1.数字----->int，flort2.布尔值----->bool类3.字符串----->str类4.列表----->list类5.元组----->tuple类6.字典----->dict类7.集合------>set类...