I built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools, identifying the best price that a client can sell their house utilizing machine.

On this project, I used Python libraries Pandas and Sklearn and I mostly practice how to analyze and interpret the performance of machine learning models. This project is connected to the Machine Learning Engineer Nanodegree program, from Udacity.