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House Price Prediction Using Regression

Kushal Chaturvedi, Saurabh Vrindavan Gupta


Nowadays, people are very cautious once they need to buy new residence within their budgets. The main purpose of this study is to predict the house price whatever location you want in the Bengaluru city. This study analyses various features like number of bathrooms in the house, number of bedrooms in the house, total area of the house etc. This research work has applied the dataset from Kaggle. An evaluation is performed with the aid of making use of superior system mastering regression techniques along with Linear regression, Decision Tree Regression, Bagging Regression, XGBoost Regression, Gradient Boosting Regression etc. The representation of comparing all the regression models is presented in the graph format.

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