NihalChoudharycoder/Bengaluru-House-Price-Prediction

An End -to-End Implementation of House price prediction using a public Data set found on Kaggle of Bengaluru House Prices and Implementing a web application using flask framework to map the prediction from the .pickle file to return the API which then displays the right house price prediction. Several regression models were trained to get the best performing model using accuracy as metric . These models include Linear Regression , Random Forest and SVM , where Linear Regression shows the best perfomance metrics and behaviour with data being cautious about the amount of Data we were losing and hence helped us to prevent such losses.