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Implementação do zero (from scratch) de algoritmos clássicos de Machine Learning usando apenas Python e NumPy. Foco na compreensão matemática e lógica por trás de modelos como SVM, Random Forest, K-Means e Regressões.
Predictive model to forecast daily bike rental demand in Chicago, developed using machine learning techniques on historical data to support data-driven city planning and optimize bike-sharing services.