Data Science Revealed

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Focusing on practical data science techniques, this book covers essential topics like data engineering, visualization, statistical modeling, machine learning, and deep learning. It guides readers through selecting variables, optimizing hyperparameters, and developing pipelines, while also providing methods for training, testing, and validating models. Each chapter features examples to clarify the concepts, assumptions, and procedures involved, making complex topics accessible and applicable for learners at all levels.