It was the final project for the course Machine Learning — Supervised Learning built by Georgia Tech as part of their Online Master Degree and offered through Udacity.

I applied the Neural Network, the decision tree, K-nearest neighbors and the Boosting algorithms using the Python library scikit-learn to predict house prices. Then, I dived into the accuracy of each one to decide which model would better generalize to new observations.