地球资源数据云——数据资源详情
该数据集《Data Science Job Salaries》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 jobs 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。 Content | Column | Description | | work_year | The year the salary was paid. | | experience_level | The experience level in the job during the year with the following possible values: EN Entry - level / Junior MI Mid - level / Intermediate SE Senior - level / Expert EX Executive - level / Director | | employment_type | The type of employement for the role: PT Part - time FT Full - time CT Contract FL Freelance |

该数据集《Data Science Job Salaries》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 jobs 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。
Content
| Column | Description |
| work_year | The year the salary was paid. |
| experience_level | The experience level in the job during the year with the following possible values: EN Entry - level / Junior MI Mid - level / Intermediate SE Senior - level / Expert EX Executive - level / Director |
| employment_type | The type of employement for the role: PT Part - time FT Full - time CT Contract FL Freelance |