This Jupyter Notebook kernel contains regression and classification machine learning algorithms to predict houses' price and quality in the most accurate possible way.
Property assets are a safe investment method that many people have trusted for years. Owning and selling a property is a common mean of accumulating personal wealth. The main features considereng when investing in the real estate market are the property sale price and its overall quality. These feature are strongly correlated indeed. The objective of this study is to create models to predict both the sale price and the quality of a house.
Ames Housing dataset, created by Dean De Cock (2011)