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House-Price-prediction-System

  • Platform : Jupyter Notebook
  • Technology Used: Machine Learning.
  • This machine learning project predicts the price of houses with a mean square error of 3.58. This model is made with the help of python libraries like sklearn, matplotlib, numpy, etc.

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