地球资源数据云——数据资源详情

计算机科学职业路径预测数据集

该数据集《Computer Science career path prediction dataset》主要用于监督学习任务，数据形态以表格为主，应用场景偏向环保分类。 题目说明：Career prediction dataset for computer science students 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：computer_science_student_career_datasetMar62024.csv。 The dataset comprises various attributes related to individuals' skills, experiences, academic achievements, and career goals in the field of computer programming and software development. Each row in the dataset represents a unique individual, while the columns contain specific information about their profile. Below is a brief description of each column: Python: Indicates the proficiency level or experience with the Python programming language. Java: Indicates the proficiency level or experience with the Java programming language. C++: Indicates the proficiency level or experience with the C++ programming language. JavaScript: Indicates the proficiency level or experience with the JavaScript programming language. C#: Indicates the proficiency level or experience with the C# programming language. PHP: Indicates the proficiency level or experience with the PHP programming language. Ruby: Indicates the proficiency level or experience with the Ruby programming language. Swift: Indicates the proficiency level or experience with the Swift programming language. Go: Indicates the proficiency level or experience with the Go programming language. Rust: Indicates the proficiency level or experience with the Rust programming language. Others: Indicates any other programming languages or technologies not listed specifically. Software_Development_Experience: Reflects the overall experience in software development, typically measured in years. Database_Management: Indicates proficiency or experience in managing databases, such as SQL or NoSQL databases. Networking_Skills: Reflects proficiency or experience in computer networking concepts and protocols.