地球资源数据云——数据资源详情
该数据集《Dummy Marketing and Sales Data》主要用于回归/预测任务,数据形态以表格为主,应用场景偏向文本内容分析。 题目说明:Data of TV, Influencer, Radio, and Social Media Ads budget to predict Sales 任务类型:表格回归/预测。 建议流程:先做缺失值/异常值处理与特征编码,再比较逻辑回归、随机森林、XGBoost。 评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。 可用文件:Dummy Data HSS.csv。 I made this data for my students in 'Data - Driven Marketing' and 'Data Science for Business'. Data contains: TV promotion budget (in million) Social Media promotion budget (in million) Radio promotion budget (in million) Influencer: Whether the promotion collaborate with Mega, Macro, Nano, Micro influencer

该数据集《Dummy Marketing and Sales Data》主要用于回归/预测任务,数据形态以表格为主,应用场景偏向文本内容分析。 题目说明:Data of TV, Influencer, Radio, and Social Media Ads budget to predict Sales
任务类型:表格回归/预测。
建议流程:先做缺失值/异常值处理与特征编码,再比较逻辑回归、随机森林、XGBoost。
评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。
可用文件:Dummy Data HSS.csv。
I made this data for my students in 'Data - Driven Marketing' and 'Data Science for Business'. Data contains:
TV promotion budget (in million)
Social Media promotion budget (in million)
Radio promotion budget (in million)
Influencer: Whether the promotion collaborate with Mega, Macro, Nano, Micro influencer