The methods used in this thesis study consisted of Least Absolute Selection Operator (Lasso), Ridge, LightGBM, and XGBoost, Multiple linear regression, Ridge regression, LightGBM, XGBoost. With the use of a variety of regression methods it's being able to predict the sale price of the house. In addition, this model also helps identify which characteristics of housing were most strongly associated with price and could explain most of the price variation. Furthermore, I was able to improve models’ prediction accuracy by ensembling StackedRegressor, XGBoost and LightGBM.
