Machine Learning - Predict Classroom Performance

This project considers the performance expectation of a cohort of students. The ML project leverages a regression approach to estimate math scores of students provided with features such as gender, race/ethnicity, parental level of education, lunch, test preparation, reading and writing scores. The target feature is the math score. A set of regressors is applied to the data set to determine the best model. The best model is used for prediction in the application and will be deployed with the app on AWS EC2, DockerHub, and Azure.