Awesome

Educational-Data-Mining

This Project aims to explore the demographic and family features that have an impact a student's academic performance. The data consists of 6000 student entries from Balochistan. In this Project, we use various classifiers such as Decision Trees, Logistic Regression, K-Nearest Neighbors, Random Forest and Multilayer Perceptrons for the classification purpose.