🏆 Training Competition – Artificial Intelligence

This competition is designed for students passionate about Artificial Intelligence and aims to practice practical skills in regression and classification, using data from financial and medical domains.

Participants will have the opportunity to develop their algorithmic thinking, learn to preprocess real data and build performant predictive models, thus preparing for AI olympiads.

🎯 General objectives

• Understanding and processing numerical and categorical data.
• Practicing regression models for continuous predictions.
• Practicing multi-class classification models for discrete decisions.
• Evaluating model performance using metrics specific to each problem.
• Developing skills in analysis, interpretation and optimization of models.

🌟 Benefits for participants

• Practice on problems inspired by real domains, but adapted to student level.
• Understanding the complete workflow of an AI project: data preprocessing, modeling, evaluation and interpretation.
• Rapid feedback through automated evaluation, to learn from mistakes and improve their models.

This competition is ideal for those who want to experiment and develop their programming, statistics and AI skills in a practical and interactive way.