Data Science Essentials: A Practical Guide

**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.

• | Author: Nandini K
• | Publisher: Scholars' Press
• | Publication Date: Mar 10, 2025
• | Number of Pages: 00124 pages
• | Binding: Paperback or Softback
• | ISBN-10: 3639859588
• | ISBN-13: 9783639859584