地球资源数据云——数据资源详情
该数据集《Data Science Salaries 2023 》主要用于监督学习任务,数据形态以表格为主。 题目说明:Salaries of Different Data Science Fields in the Data Science Domain 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:ds_salaries.csv。 Data Science Job Salaries Dataset contains 11 columns, each are: 1. work_year: The year the salary was paid. 2. experience_level: The experience level in the job during the year 3. employment_type: The type of employment for the role 4. job_title: The role worked in during the year.

该数据集《Data Science Salaries 2023 》主要用于监督学习任务,数据形态以表格为主。 题目说明:Salaries of Different Data Science Fields in the Data Science Domain
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:ds_salaries.csv。
Data Science Job Salaries Dataset contains 11 columns, each are:
1. work_year: The year the salary was paid.
2. experience_level: The experience level in the job during the year
3. employment_type: The type of employment for the role
4. job_title: The role worked in during the year.