What mistakes should MCA students avoid while learning machine learning projects?

A strong MCA project should solve a clear problem and demonstrate real technical work. A student can strengthen it with proper documentation, testing, source control and a working demonstration. A good MCA study plan should leave time for both the theory behind machine learning projects and regular implementation practice. This point is specifically relevant to the machine learning projects aspect of MCA study. For this specific question about machine learning projects, the practical takeaway is to relate the concept to your own MCA learning goal.