Campus Recruitment: Student Placement Status Based on Academic and Activity Records

Krooz's Campus Recruitment dataset contains placement data for students from an unspecified campus, uploaded to Hugging Face on 2024-02-21. It is intended for classifying a student's placement status based on performance metrics. The description mentions features like CGPA, number of internships, projects, and workshops or certifications.

Use Cases

• Predict student placement status based on academic performance (CGPA).
• Analyze the impact of extracurricular activities (internships, projects) on job placement.
• Build a classifier to identify key factors for successful campus recruitment.

Strengths

• Dataset description explicitly lists core predictive features: CGPA, internships, projects, and workshops/certifications.
• The dataset page on Hugging Face was last updated on 2024-02-21, providing a specific timestamp.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The geographic and institutional source ('XYZ campus') is anonymized, limiting contextual understanding.

Provenance

Source

Krooz via Hugging Face.

Collection Method

Likely collected from a campus placement process, but the specific method is not detailed.

Freshness

Last updated 2024-02-21 05:20:19.