Student Performance Prediction 🎓📊
This is a simple machine learning project using classifiers for predicting factors that affect student grades, using data from a CSV file. 📈
In this project, a dataset with students from different nationalities 🌍, various grade levels 📚, and determining factors such as the number of hands raised ✋, number of attendances 📝, and number of hours studied ⏰ is used, which is a CSV file.
Several 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 the confusion matrix 🔄, have been created to show the results.
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