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What is House Price Prediction with ML Techniques about?

The document discusses using machine learning algorithms to predict house prices in Bengaluru, India. It begins with an introduction describing the importance of accurately predicting housing prices. A literature review then summarizes several papers that used methods like random forests, decision trees, neural networks, and K-means clustering for house price prediction. The authors propose using linear regression to analyze the accuracy of their model in predicting prices. References conclude the document.

Author

jaya sree

Language

EN