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housingpriceprediction

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🔍📸🌐 VisualAIProjects: Repository for cutting-edge computer vision and Visual AI projects! Explore 🌟advanced algorithms and models🌟 for image recognition, object detection, segmentation, and synthesis. 🚀🔓 Join us in the captivating world of computer vision and unlock the full potential of Visual AI! 🌍💡

  • Updated Mar 19, 2024
  • Jupyter Notebook

This project focuses on predicting residential property prices in Ames, Iowa using multiple linear regression models. The workflow includes data cleaning, exploratory data analysis (EDA), and model evaluation to optimise real estate sales strategies. The analysis highlights the relationships between property features.

  • Updated Jul 30, 2024
  • Jupyter Notebook

This project uses Bayesian analysis to predict housing prices based on features such as square footage, number of bedrooms, bathrooms, neighborhood, and year built. It applies two models: one with uninformative Gaussian priors and another with modified priors, exploring the impact of different priors on model performance.

  • Updated Feb 15, 2025

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