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House Price Prediction Using AI Techniques by nikashp11a1svv is a document available to read on EtoBox.

This research paper focuses on predicting housing prices using various machine learning algorithms, including linear regression, support vector machines, gradient boosting, and random forest. The study emphasizes the importance of accurate predictions for buyers and sellers in the real estate market and demonstrates that a combination of these techniques yields better results than individual algorithms. The findings suggest that the proposed methodology can be further developed to enhance property price pre

Author

nikashp11a1svv

Language

EN