What is a good beginner approach to predictive modelling for MCA students?

Predictive modelling uses historical data to estimate likely future outcomes. Good practice includes choosing suitable features, avoiding data leakage and evaluating models on unseen data. Students can judge their progress in predictive modelling by solving problems independently instead of depending entirely on guided tutorials. This point is specifically relevant to the predictive modelling aspect of MCA study. For this specific question about predictive modelling, the practical takeaway is to relate the concept to your own MCA learning goal. In other words, this guidance addresses: What is a good beginner approach to predictive modelling for MCA students?