This repository contains code for predicting house prices in Boston using machine learning techniques. The dataset used for this prediction is the Boston Housing Dataset, which consists of 506 samples with 13 features each.
here i used top 4 features of the data ['LSTAT','RM','PTRATIO','INDUS'] and applied XGB Regression on the data to have 88% Accuracy on the data
