dc.contributor.author | Saxena, Aman | |
dc.contributor.author | Bajaj, Varnica | |
dc.date.accessioned | 2023-12-11T10:23:10Z | |
dc.date.available | 2023-12-11T10:23:10Z | |
dc.date.issued | 2022-05 | |
dc.identifier.uri | http://10.10.11.6/handle/1/12368 | |
dc.description.abstract | In 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.iso | en_US | en_US |
dc.publisher | GALGOTIAS UNIVERSITY | en_US |
dc.subject | Computer Science, Engineering, Real Estate, Price Prediction | en_US |
dc.title | The New Age of House Hunting: Real Estate Price Prediction | en_US |
dc.type | Technical Report | en_US |