/MachineLearning-Properati

Different prediction algorithms that calculate the selling price of properties in Buenos Aires City. Languages and Technologies: Python, Pandas, Machine Learning Algorithms, Jupyter Notebook, Google Maps API.

Primary LanguageJupyter Notebook

Machine Learning Application

Languages and Technologies:

Python, Pandas, Machine Learning Algorithms, Jupyter Notebook, Google Maps API.


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Properati is a real estate portal born in Argentina in 2012. Currently over 3 million people visit Properati every month in Latam, browsing over 2.1 million properties in stock.

By using their public datasets, this repository contains different prediction algorithms that calculate the selling price of properties in Buenos Aires City.

To define what variables have a greater influence on the calculation, an Exploratory Data Analysis was made and it can be found here.


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Facultad de Ingeniería de la Universidad de Buenos Aires

TP2 ORGANIZACION DE DATOS 75.06

MachineLearning - Properati

Se realizaron pruebas con distintos algoritmos de Machine Learning para predecir el valor de las propiedades en base a los datos de las mismas (obtenidos del registro de propiedades de la empresa Properati).