摘  要
广告点击预测是全部与消费者挂钩行业从业者大力关注的问题,只有精准预测广告点击,才可以保证经营效益.因此,文章利用Python数据挖掘技术,从数据集描述,导入,清理几个方面,介绍了基于Python数据挖掘实现广告点击预测的技术应用准备.并从建模训练,预测几个方面,进行了基于Python数据挖掘实现广告点击预测的技术应用分析,希望为消费行业广告点击预测提供一些参考.
关键词：广告点击；点击预测；Python；数据分析
Abstract
Advertising click prediction is a highly concerned problem for all industry practitioners linked to consumers. Only by accurate prediction of advertising click can business benefits be guaranteed. Therefore, the article uses Python data mining technology to introduce the technical application preparation from the data set description, import and cleaning up based on Python data mining. From the modeling training and prediction aspects, the technical application analysis based on Python data mining was conducted, hoping to provide some reference for the advertising click prediction in the consumer industry.
Key words: advertising click; click the forecast; Python; data analysis
目录
一、广告点击预测简介 2
二、整体解决方案 2
2.1 数据读入 2
2.2 数据预处理 4
2.3 算法原理及程序实现 4
2.3.1 神经元模型 5
2.3.2 BP算法 5
2.4 算法结果评估 8
三、实验结论 9
四、小组分工 9
五、 总结 9