VictorHoffmann1/ENS-Challenge-Data-Real-Estate
This challenge organized by ENS Ulm and Collège de France was about predicting real estate prices with tabular data and images.
This project helps real estate professionals estimate property prices more accurately by combining detailed property information with visual data from multiple images. It takes in tabular data about a property alongside 1-6 images of varying sizes, and outputs a predicted real estate price. Real estate analysts, appraisers, or investors can use this to refine property valuations.
No commits in the last 6 months.
Use this if you need a method to integrate both structured property details and visual data from multiple photos to predict real estate prices.
Not ideal if your primary need is property valuation based solely on tabular data without incorporating visual information.
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8
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 28, 2023
Commits (30d)
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