Python数据分析与应用-源代码和实验数据.rar

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62.76KB </span>","children":null,"spread":false}],"spread":true},{"title":"code","children":[{"title":"任务6.4 构建并评价回归模型.py <span style='color:#111;'> 3.98KB </span>","children":null,"spread":false},{"title":"任务6.3 构建并评价分类模型.py <span style='color:#111;'> 4.45KB </span>","children":null,"spread":false},{"title":"任务6.2 构建并评价聚类模型.py <span style='color:#111;'> 3.94KB </span>","children":null,"spread":false},{"title":"任务6.1 使用sklearn转换器处理数据.py <span style='color:#111;'> 5.48KB </span>","children":null,"spread":false}],"spread":true},{"title":"data","children":[{"title":"abalone.data <span style='color:#111;'> 187.46KB </span>","children":null,"spread":false},{"title":"seeds_dataset.txt <span style='color:#111;'> 9.17KB </span>","children":null,"spread":false},{"title":"cal_housing.data <span style='color:#111;'> 1.98MB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"第4章","children":[{"title":"tmp","children":[{"title":"meal_order_detail1.csv <span 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