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House Price Forecasting with ML Techniques by itsankitmishra2004 is a document available to read on EtoBox.

The article discusses the use of machine learning and artificial intelligence for predicting house prices, highlighting the volatility of the real estate market and the need for accurate forecasting systems. It analyzes key factors influencing house prices using linear regression and random forest regression models, aiming to develop a Python-based model for better predictions. The study emphasizes the importance of various characteristics such as location, size, and condition of the property in determining

Author
itsankitmishra2004
Language
EN