Prediction of House Price Using XGBoost Regression Algorithm

House price fluctuates each and every year due to changes in land value change infrastructure around the area. Centralised system should be available for prediction of house correlation with neighbourhood infrastructure, will help customer estimate house. Also, it assists come a conclusion where buy when purchase Different factors are taken into consideration while predicting worth like location, various amenities garage space etc. Developing model starts Pre-processing data remove all sort discrepancies fill null values or outliers make ready processed. The categorical attribute can converted required attributes using one hot encoding methodology. Later is predicted XGBoost regression technique.