Data Science Essentials: A Practical Guide

By Nandini K

**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.

• Format: Paperback
• Language: English
• ISBN: 3639859588
• ISBN13: 9783639859584
• Release Date: March 2025
• Publisher: Scholars' Press
• Length: 124 Pages
• Weight: 0.39 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"