地球资源数据云——数据资源详情

计算机科学专业学生的职业预测

发布时间：2026-03-17 14:32:20资源ID：2031261239433662466资源类型：免费

该数据集《Computer Science Students Career Prediction》主要用于多分类任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：Insights into Career Aspirations and Technical Proficiency of CS Students 任务类型：表格多分类。 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：cs_students.csv。 Computer Science Students Dataset This dataset contains information about computer science students from a fictional university. It includes attributes such as Student ID, Name, Gender, Age, GPA, Major, Interested Domain, Projects undertaken, and skills in Python, SQL, and Java. The dataset aims to provide insights into the academic performance, career aspirations, and technical skills of students in the field of computer science. Columns: Student ID: Unique identifier for each student. Name: Name of the student. Gender: Gender of the student. Age: Age of the student. GPA: Grade Point Average of the student. Major: Field of study within computer science. Interested Domain: Area of interest within the field of computer science. Projects: Noteworthy projects completed by the student.

计算机科学专业学生的职业预测

摘要概览

该数据集《Computer Science Students Career Prediction》主要用于多分类任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：Insights into Career Aspirations and Technical Proficiency of CS Students

任务类型：表格多分类。

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：cs_students.csv。

Computer Science Students Dataset

This dataset contains information about computer science students from a fictional university. It includes attributes such as Student ID, Name, Gender, Age, GPA, Major, Interested Domain, Projects undertaken, and skills in Python, SQL, and Java.

The dataset aims to provide insights into the academic performance, career aspirations, and technical skills of students in the field of computer science.

Columns:

Student ID: Unique identifier for each student. Name: Name of the student. Gender: Gender of the student. Age: Age of the student. GPA: Grade Point Average of the student. Major: Field of study within computer science. Interested Domain: Area of interest within the field of computer science. Projects: Noteworthy projects completed by the student.