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Por que separar treino e teste em Machine Learning? Você confiaria em um aluno que fez a prova usando exatamente as mesmas perguntas que estudou? Em Inteligência Artificial, esse é um dos maiores erros que iniciantes cometem. Em Machine Learning, utilizamos dois conjuntos de dados: o conjunto de treino e o conjunto de teste. O conjunto de treino serve para ensinar o algoritmo a reconhecer padrões. É nele que o modelo aprende a relacionar informações e gerar previsões.
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😂 Você vai rir no começo… mas no final vai entender por que isso acontece. E se você gosta de economizar tempo, dinheiro e passar menos raiva na hora de comprar, talvez meu perfil seja um bom lugar para você. 😉
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Já parou pra pensar que as pessoas que te amam são as que mais matam seus sonhos? Não por maldade, mas por medo de te perder ou achar que o risco é muito alto. Elas só querem o seu bem.
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