execution of this project is a piece of cake. first of all save datasets.csv file and student.py in same folder. then open terminal from same folder and type "python student.py". Kudos.
This project analyses and correlates student performance with different attributes. Then at last, it determines most suitable algorithm from bunch of them.
execution of this project is a piece of cake. first of all save datasets.csv file and student.py in same folder. then open terminal from same folder and type "python student.py". Kudos.
This project analyses and correlates student performance with different attributes. Then at last, it determines most suitable algorithm from bunch of them.
MIT License