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哼哼/用线性回归模型机器学习2011年共享单车数据,对2012年共享人数进行预测

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问题描述 请在Capital Bikeshare (美国Washington, D.C.的一个共享单车公司)提供的自行车数据上进行回归分析。训练数据为2011年的数据,要求预测2012年每天的单车共享数量。 解题提示 批改标准 需要提交代码文件,并给出必要的结果解释。 1) 训练数据和测试数据分割(请将2012年的数据作为测试数据);(20分) 2) 适当的特征工程(及数据探索);(20分) 提示: a) 有些特征看起来是数据值特征,其实是类别型特征,如月份、季节 b) 数值型特征归一化 c) 可以丢弃一些不必要的特征 3) 岭回归,并选择最佳的正则参数;(30分) a) 参数调优 b) 结果可视化 4) Lasso,并选择最佳的正则参数;(30分) 展开 收起
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用线性回归模型机器学习2011年共享单车数据,对2012年共享人数进行预测
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