Second assignment from Digital House Data Science course
Based on a dataset provided by a Real Estate Agency, exploration and visualization of data, imputation of missing values when needed. Creation, train and test a Linear Regression model that can predict price per square meter based on features such as neighborhood, type of property, surface, etc. The Dataset file is too big, you can get it here