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House Price Prediction with Noise Data by itmsec2023 is a document available to read on EtoBox.
What is House Price Prediction with Noise Data about?
The study focuses on improving house price predictions using machine learning, particularly linear regression, by incorporating noise-injected data. It emphasizes the significance of environmental factors, such as noise levels, alongside traditional property attributes in predicting real estate prices. The methodology includes data collection, preprocessing, feature engineering, and model evaluation, demonstrating that the model effectively captures the impact of various factors on housing prices.
- Author
- itmsec2023
- Language
- EN