地球资源数据云——数据资源详情
Coursera 课程元数据分析 2025
该数据集《Coursera Courses Metadata for Analytics 2025》主要用于监督学习任务，数据形态以表格为主。 题目说明：Data for Education Analytics, Machine Learning, and Online Learning Research 任务类型：表格监督学习。 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：courses_en.csv。 Coursera Courses Metadata Dataset Overview This dataset provides comprehensive, structured information about online courses offered on Coursera. Each entry corresponds to a single course and captures essential metadata such as its title, category, URL, language, instructors, key learning outcomes, and associated skills. Designed for education researchers, data scientists, and developers, this dataset enables analysis and innovation in the domains of:
摘要概览
该数据集《Coursera Courses Metadata for Analytics 2025》主要用于监督学习任务，数据形态以表格为主。 题目说明：Data for Education Analytics, Machine Learning, and Online Learning Research
任务类型：表格监督学习。
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：courses_en.csv。
Coursera Courses Metadata Dataset
Overview
This dataset provides comprehensive, structured information about online courses offered on Coursera.
Each entry corresponds to a single course and captures essential metadata such as its title, category, URL, language, instructors, key learning outcomes, and associated skills.
Designed for education researchers, data scientists, and developers, this dataset enables analysis and innovation in the domains of:
常见问题
Coursera 课程元数据分析 2025是什么？
该数据集《Coursera Courses Metadata for Analytics 2025》主要用于监督学习任务，数据形态以表格为主。
Coursera 课程元数据分析 2025是什么数据格式？坐标系是什么？
数据格式为 CSV。
如何获取并引用Coursera 课程元数据分析 2025？
在本页登录后即可下载。建议引用格式：地球资源数据云. Coursera 课程元数据分析 2025. https://www.gis5g.com/dataset/2033808662555168769