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dc.contributor.authorSaxena, Aman
dc.contributor.authorBajaj, Varnica
dc.date.accessioned2023-12-11T10:23:10Z
dc.date.available2023-12-11T10:23:10Z
dc.date.issued2022-05
dc.identifier.urihttp://10.10.11.6/handle/1/12368
dc.description.abstractIn the world of growing technologies, we see every day that something or the other things have been implemented to make human lives easier and comfortable. Similarly, Machine Learning plays a vital role in every field starting from Face Recognition to Medical Diagnosis and all the fields are benefitted from Machine Learning in recent years. The current machine learning algorithm aids us in improving our results. It works on improving and enhancing things. The real estate market is one of the most price-sensitive in the world, and it is always changing as the prices can vary dramatically depending on a variety of criteria. It is one of the most important domains in which machine learning techniques may be applied to improve and predict costs with great accuracy. As a result, we give several key features to consider when projecting house prices with high accuracy in this research. This research paper examines the application of existing machine learning techniques to the existing dataset, with the goal of implementing this prediction for real-world use by consumers.en_US
dc.language.isoen_USen_US
dc.publisherGALGOTIAS UNIVERSITYen_US
dc.subjectComputer Science, Engineering, Real Estate, Price Predictionen_US
dc.titleThe New Age of House Hunting: Real Estate Price Predictionen_US
dc.typeTechnical Reporten_US


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