Abstract
House price fluctuates each and every year due to changes in land value and change in infrastructure in and around the area. Centralised system should be available for prediction of house price in correlation with neighbourhood and infrastructure, will help customer to estimate the price of the house. Also, it assists the customer to come to a conclusion where to buy a house and when to purchase the house. Different factors are taken into consideration while predicting the worth of the house like location, neighbourhood and various amenities like garage space etc. Developing a model starts with Pre-processing data to remove all sort of discrepancies and fill null values or remove data outliers and make data ready to be processed. The categorical attribute can be converted into required attributes using one hot encoding methodology. Later the house price is predicted using XGBoost regression technique.
Highlights
Machine learning has so many real-life applications in health industry, business and is slowly venturing into every sector there is
Real world implementations of problems are complicated due to so many constraints related to various attributes of data
Machine learning is used for building models and predict data from learnt models
Summary
J.Avanijaa, Gurram Sunithab, K.Reddy Madhavic , Padmavathi Korad, and R.Hitesh Sai Vittale a Associate Professor,Department of CSE, Sree Vidyanikethan Engineering College, Tirupati, India. bProfessor,Department of CSE, Sree Vidyanikethan Engineering College, Tirupati,,India. cAssociate Professor,Department of CSE, Sree Vidyanikethan Engineering College, Tirupati, India. dProfessor,Department of ECE, GRIET, Hyderabad,,India. eDepartment of CSE, Sree Vidyanikethan Engineering College, Tirupati,India. J.Avanijaa, Gurram Sunithab, K.Reddy Madhavic , Padmavathi Korad, and R.Hitesh Sai Vittale a Associate Professor,Department of CSE, Sree Vidyanikethan Engineering College, Tirupati, India. BProfessor,Department of CSE, Sree Vidyanikethan Engineering College, Tirupati,,India. CAssociate Professor,Department of CSE, Sree Vidyanikethan Engineering College, Tirupati, India. EDepartment of CSE, Sree Vidyanikethan Engineering College, Tirupati,India. Article History: Received: 11 January 2021; Accepted: 27 February 2021; Published online: 5 April 2021
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