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 working as Assistant Professor, Department of Mechanical Engineering, HKBK College of Engineering, Bangalore. Nandini K has published many research articles in reputed international journals, she bagged patents for her research related to Artificial Intelligence and Machine Learning.