基于机器学习的疫情大数据智能分析和可视化系统源码+项目文档.zip

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基于机器学习的疫情大数据智能分析和可视化系统源码+项目文档.zip方案实现 数据采集: 本实验数据包含北京, 香港, 上海, 四川, 河北, 甘肃, 陕西, 辽宁, 广东, 台湾, 福建,重 庆, 浙江, 江苏, 天津, 云南, 澳门, 湖北等 34 个省份城市(含港澳台)的疫情数据,其中数据 字段包括: 读取数据 数据预处理 缺失值处理 日期转换 连续数值转换 离散数值转换 特征工程 建立模型 模型训练 模型评估 模型优化 模型实施 中国高校计算机大赛-网络技术挑战赛选拔赛阶段作品设计文档 id:数据编号 confirmedCount:累计确诊 confirmedIncr:新增确诊 curedCount:累计治愈 curedIncr:新增治愈 currentConfirmedCount:现存确诊 currentConfirmedIncr:新增现存确诊 dateid:日期 deadCount:累计死亡 deadIncr:新增死亡 suspectedCount:累计疑似 suspectedCountIncr:新增疑似 数据预处理: 1、统计数据行列数,查看部分数据,如图 1: df.sh

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