Data Science Essentials: A Practical Guide - K, Nandini
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__Data Science Essentials: A Practical Guide__ is a comprehensive resource designed for beginners and professionals seeking to build a strong foundation in data science. Covering key concepts such as data preprocessing, exploratory data analysis, machine learning, and model evaluation, the book provides step-by-step explanations with real-world examples. It emphasizes practical applications using Python and popular libraries like Pandas, NumPy, and Scikit-Learn. With a focus on hands-on learning, this guide helps readers develop the skills needed to analyze data effectively and make…mehr

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Produktbeschreibung
__Data Science Essentials: A Practical Guide__ is a comprehensive resource designed for beginners and professionals seeking to build a strong foundation in data science. Covering key concepts such as data preprocessing, exploratory data analysis, machine learning, and model evaluation, the book provides step-by-step explanations with real-world examples. It emphasizes practical applications using Python and popular libraries like Pandas, NumPy, and Scikit-Learn. With a focus on hands-on learning, this guide helps readers develop the skills needed to analyze data effectively and make data-driven decisions. Whether you're a student, researcher, or industry professional, this book serves as a valuable reference for mastering data science fundamentals.
Autorenporträt
Author: Nandini K, Assistant Professor, Department of Computer Science & Engineering, HKBK College of Engineering, Bangalore. The author specializes in making complex topics accessible and engaging for learners of all levels. Their passion for demystifying technology has driven them to publish numerous articles and contribute to innovation.