Campus Placements Prediction & Analysis using Machine Learning
Placement Predictor is a software that uses machine learning to predict job placement for aspiring candidates. the software is designed to analyze various parameters such as age, gender, stream, number of internships done, cumulative grade point average (cgpa), number of backlogs, and whether the candidate is a hosteler.
Job predict was trained on multiple machine learning models and has been fine-tuned to achieve the highest accuracy possible. after evaluating several models, the job predict team selected the best-performing model for deployment. the selected model is the random forest classifier, which achieved an accuracy of 89.05%.
Students Placement Prediction Using Machine Learning Algorithms
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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