Codes are from my machine learning course projects
#Project 1: Boston house price prediction apply machine learning concepts on data collected for housing prices in the Boston to predict the selling price of a new home by utilizing NumPy and Scikit-Learn.
#Project 2:Building a Student Intervention System apply machine learning concepts to identify students who might need early intervention. Chose the best model from Gaussian Naive Bayes, SVM and logistic regression.