This project focuses on the prediction of campus recruitment of students based on the relevant attributes. Following Classification algorithms have been used
- K Nearest Neighbors
- Decision Tree
- Random Forest
- Naive Bayes
- Support Vector Machine
As can be seen in the associated jupyter notebook, the Random Forest classifier gives the best precision and accuracy.