Characterisation of Youth Entrepreneurship in Medellín-Colombia Using Machine Learning

The aim of this paper is to identify profiles young Colombian entrepreneurs based on data from the “Youth Entrepreneurship” survey developed by Youth Secretariat. Our research results show five entrepreneurs, mainly differentiated age and entrepreneurial motives, as well identification relevant skills, capacities, capabilities for entrepreneurship, such creativity, learning, leadership. sample consists 633 people aged between 14 28 years in Medellín. treatment was approached through cluster analysis using K-means algorithm obtain information about underlying nature structure data. These techniques provide valuable that can help better understand behaviour entrepreneurs. They also reveal hidden Therefore, one advantages statistical artificial intelligence type study extract might otherwise go unnoticed. clusters generated correlations with support design policies Colombia promote an ecosystem creation development new businesses business regulation.