cmatteogr/medellin_ai_autoencoder_anomaly_detection
Autoencoder used as anomaly detection model
This tool helps real estate investors and analysts identify unusually good property deals in large datasets. It takes a list of property listings (like those from Medellín, 2021-2024) and outputs a list of properties that stand out as potential 'pearls' or unique opportunities. Real estate professionals looking for undervalued assets or market outliers would find this useful.
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Use this if you need to sift through many property listings to pinpoint those that deviate positively from the norm, indicating potential hidden value.
Not ideal if you are looking for simple rule-based filtering or if your dataset is very small and doesn't require advanced anomaly detection.
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Python
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Last pushed
Jun 21, 2025
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