地球资源数据云——数据资源详情
计算机科学系和校友数据集
该数据集《Computer Science Department and Alumni Datasets》主要用于监督学习任务，数据形态以文本为主。 题目说明：Data was scraped from various sources for university department analysis 任务类型：文本监督学习。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 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：academics.csv, alumni_people_from_departmant.csv, best_students_lecture_scores.csv 等 11 个文件。 Context Data Sources: https://www.linkedin.com/school/trakya - university/people/ https://muhendislik.trakya.edu.tr/ https://www.trakya.edu.tr/ https://yokatlas.yok.gov.tr/lisans - univ.php?u=1094 Content lots of data uploaded to analyze the departmant.
摘要概览
该数据集《Computer Science Department and Alumni Datasets》主要用于监督学习任务，数据形态以文本为主。 题目说明：Data was scraped from various sources for university department analysis
任务类型：文本监督学习。
建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。
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：academics.csv, alumni_people_from_departmant.csv, best_students_lecture_scores.csv 等 11 个文件。
Context
Data Sources: https://www.linkedin.com/school/trakya - university/people/ https://muhendislik.trakya.edu.tr/ https://www.trakya.edu.tr/ https://yokatlas.yok.gov.tr/lisans - univ.php?u=1094
Content
lots of data uploaded to analyze the departmant.