Abstract:

In this paper we are following standard CRISP-DM development methodology to build the predictive model for the first period grades of Student Performance Data Set on the UCI machine learning repository (https://archive.ics.uci.edu/ml/datasets/student+performance). This is clearly the classification problem and we approach the problem by performing multiple regression on the dataset which will be first pre-processed to get the best outcome Keywords: classification, multiple regression, pre-processed

Wrote a Paper and performed the Data Mining on the Student Performance Data SetPaper

Conclusion

• Achieveing good first grade is important as it will also become the motivation for good performance in the future • Target for higher education • Have a well balance between Extra cirricular activities and paid classes • Always ensure the good Study time and most importantly choose the school with good reviews • Being punctual helps a lot in Achieveing good grades. • Travel less