Python code for the estimation of missing prices in real-estate market with a dataset of house prices from Teruel city

This research data file contains the necessary software and the dataset for estimating the missing prices of house units. This approach combines several machine learning techniques (linear regression, support vector regression, the k-nearest neighbors and a multi-layer perceptron neural network) wit...

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Bibliographische Detailangaben

1. Verfasser:	García-Magariño, Iván
Format:	Dataset
Sprache:	eng
Schlagworte:	Agent-Based Modeling Big Data Dimensionality Reduction Housing Market Machine Learning Multi-Agent Systems Software Software Agent
Online-Zugang:	Volltext bestellen
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