The Housing dataset which contains information about different houses in Boston. here are 506 samples and 13 feature variables in this dataset. The objective is to predict the value of prices of the house using the given features. This is a regression based ML problem

I used various regression algorithms. Such as:-

• XGBoost
• Random Forest
• Linear Regression
• Support Vector based regression

XGBoost algorithm gave the best R-squared Score