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Real Estate has became one of the main places to put your investment in recent times. With the current instability in the market it has became too risky to invest in stock markets, gold prices constanly going down and goverment not considering crypocurrency as a serious option. That being said, owing a property seems to be a viable option to put your money in. So with this motivation we need to analyze what factors leads to the price of a property in an area, we'll be predicting house prices in Boston, USA.
Our goal is to estimate the price of various houses provided the different unique features of the property. To acheive this we have used machine learning regression methods to fit a function that can predict the continuos values (price) for the new inputs. In machine learning this is refered to as regression problem.