tatha04/Housing-Prices-Advanced-Regression-Techniques
This notebook explores the housing dataset from Kaggle to predict Sales Prices of housing using advanced regression techniques such as feature engineering and gradient boosting.
Accurately predict the final sale price of homes using a dataset of various property characteristics. By analyzing factors like square footage, number of rooms, and location, it generates a precise estimated sale price. This tool is for real estate agents, appraisers, investors, or homeowners looking to understand property valuation.
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Use this if you need to quickly and accurately estimate the market value of residential properties based on their features.
Not ideal if you're looking for a simple, on-the-fly calculator without providing detailed property attributes.
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MIT
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Jun 03, 2021
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