In this challenge, we are going to predict the final price of each house. We are given 2 data sets: train and test. Each data set contain many features that we will explore, try to find eventual correlations beween them and select the most useful ones to predict the house price. Finally, we will test and compare a few models trained on this data in order to select the model with the best performance.