Using Machine Learning to predict sociodemographic characteristics
Aviation
Real estate
Retail & Geomarketing
Smart cities
Tourism
Transport & Mobility
Big Data
Decision Trees
Machine Learning
Mobile Phone Data
Random Forest
Mobile phone data has become a fundamental tool to extract the mobility patterns of the population. However, this data often lack reliable information about some of the main sociodemographic characteristics of the users. In this article we will explain how we deal with these limitations at Nommon by using machine learning techniques.