This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file

In this Project, a dataset which has students from nationalities, different grade levels and also soe determining factors like, number of hands raised, nuber attendances, number of hours studied etc. is used, which is a CSV File.

And a few different classifiers and ML models have been used to get the most accurate predictions of which factors, affect the marks of students.

A few visual aids like graphs and confusion matrix have been created, to show the results. Also additional heatmaps and other charts have been added to further demonstrate how data modelling and engineering works.