2,966 student records across 8 academic and demographic categories provide a basis for predicting recruitment outcomes. Features include CGPA, internship counts, and backlog history to determine placement success.
Use Cases
- Train a classification model to predict 'PlacedOrNot' using 'CGPA' and 'Internships'.
- Analyze the correlation between 'Stream' specializations and placement success.
- Evaluate the impact of 'HistoryOfBacklogs' on recruitment outcomes.
Strengths
- Contains 2,966 unique student profiles.
- Includes academic performance metrics such as CGPA and HistoryOfBacklogs.
- Features a binary 'PlacedOrNot' target variable for classification.