- SVM (Support Vector Machine) for Placement Prediction (Classification)
- K-Nearest Neighbors (KNN) for Placement Prediction (Classification)
- Logistic Regression for Placement Prediction (Classification) and Salary Prediction (Regression)
- Gradient Boosting Machines for Salary Prediction (Regression)
- Random Forest for Salary Prediction (Regression)
- Placement_Data_Full_Class.csv - The dataset that was used for the model development by us
- PredictiveModels Branch contains all models that were involved in the development for placement prediction and salary estimation.
- Raahul-codes Branch contains only those models that were involved in the development for placement prediction.
- Campus_Placement_and_Salary_Prediction.pdf - The research paper written by us comprehensively explains our models and their results.
The programs have been tested on the Visual Studio Code IDE in Windows 11. You are free to choose any IDE that suits your needs.
If you come across any mistakes in the programs or have any suggestions for improvement, please feel free to contact us at jaya2004kra@gmail.com , raahulramesh11@gmail.com, roahith11@gmail.com and shanmathi18g@gmail.com. We appreciate any feedback that can help us improve our coding skills.
All the programs in this repository are licensed under the MIT License. You can use them for educational purposes and modify them as per your requirements. However, I do not take any responsibility for the accuracy or reliability of the programs.