Paper Title
House Price Prediction Using Machine Learning Technique

Abstract
Abstract - Obtaining a property that meets our needs within our budget and in the location of our choice is a time-consuming process. If you want to beat this, our team has built a design to obtain a property of our enthusiasm along with the spiritual idea as well as finances This The applied design is actually of straight regression as well as knear neighbour's protocol along with gradient descent optimization to create an ideal design for forecasting property rates utilising the dataset. Design and selection were carried out, utilising lasso and ridge charges to deal with attributes that had little or no influence on the recurring number of squares of inaccuracy. After that, it reveals Jupyter notepad tissues as REST Endpoints to create forecasts along with brand new info. Lastly, our team is attempting to deliver an e-mail update to the interested customer to provide an update about your house cost. Keywords - regression - lasso techniques - forecasting - REST.