Prediction involving decision trees and student performance data

In this section, we're going to use decision trees to predict student performance using the students, past performance data. We'll use the student performance dataset, which is available on the UC Irvine machine learning repository at https://archive.ics.uci.edu/ml/datasets/student+performance. Our final goal is to predict whether the student has passed or failed. The dataset contains the data of about 649 students, with and 30 attributes for each student. The attributes formed are mixed categorically – word and phrase, and numeric attributes. These mixed attributes cause a small problem that needs to be fixed. We will need to convert those word and phrase attributes into numbers. ...

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