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Sobre este libro
LEARN Scikit-Learn: Essential Machine Learning for Data Science This book is the key to mastering Scikit-Learn and building market-ready Machine Learning projects. Ideal for professionals and students who seek fast, direct, and applicable results. Learn high-impact techniques, design intelligent solutions, and boost your career in data science. Includes: • Quick setup of a productive environment with Python and Scikit-Learn • Data preprocessing and full pipeline automation • Fine-tuning models with cross-validation and hyperparameters • Practical application of regression, classification, and clustering • Model deployment integrated with Big Data and MLOps environments Master the most widely used algorithms in the market and accelerate your entry into data science projects with Scikit-Learn. scikit-learn, machine learning, data science, smart pipelines, model automation, cross-validation, machine learning deployment, big data integration, mlops, spark