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APRENDA Scikit-Learn: Machine Learning Essencial para Ciência de Dados
Paperback
Series: Frameworks Ia & Machine Learning Brasil
Publisher: Independently Published
Published: Mar 20 2025
Pages: 216
Weight: 0.65
Height: 0.46 Width: 6.00 Depth: 9.00
Language: Portuguese
APRENDA Scikit-Learn: Machine Learning Essencial para Ciência de Dados
Domine as principais técnicas de Machine Learning com Scikit-Learn, uma das bibliotecas mais utilizadas para Ciência de Dados e Aprendizado de Máquina. Este livro oferece um guia completo e prático para aprender desde os conceitos fundamentais até a implementação de modelos avançados, com um foco claro na aplicação real.
A jornada começa com a instalação e configuração do ambiente Python e Scikit-Learn, passando por tópicos essenciais como pré-processamento de dados, engenharia de features, ajuste de hiperparâmetros, validação de modelos e métodos ensemble. Você aprenderá a trabalhar com regressão, classificação, clusterização, redução de dimensionalidade, detecção de anomalias e deploy de modelos em ambientes produtivos.
Além disso, o livro aborda integração com outras bibliotecas populares como Pandas e Matplotlib, automação com AutoML, interpretação de modelos com SHAP e LIME, e técnicas avançadas como integração com Big Data via Spark & Dask e MLOps para CI/CD de modelos.
Cada capÃtulo segue a metodologia TECHWRITE 2.1, garantindo clareza absoluta, explicações objetivas, exemplos práticos, soluções para erros comuns e boas práticas aplicáveis ao mercado. Você terá acesso a um conteúdo atualizado e direto ao ponto, ideal tanto para quem está iniciando no aprendizado de máquina quanto para profissionais que desejam aprofundar suas habilidades e otimizar modelos para aplicações reais.
Seja bem-vindo a um novo patamar em Ciência de Dados e Machine Learning. APRENDA Scikit-Learn é o primeiro passo para dominar algoritmos, processos e estratégias essenciais na construção de modelos robustos e eficientes.
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