Overview
**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.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783639859584
- ISBN-10: 3639859588
- Publisher: Scholars' Press
- Publish Date: March 2025
- Dimensions: 9 x 6 x 0.29 inches
- Shipping Weight: 0.39 pounds
- Page Count: 124
Related Categories
