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Data Literacy with Python - by Oswald Campesato (Paperback)

Data Literacy with Python - by  Oswald Campesato (Paperback) - 1 of 1
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About this item

Highlights

  • The purpose of this book is to usher readers into the world of data, ensuring a comprehensive understanding of its nuances, intricacies, and complexities.
  • About the Author: Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, and GPT-4.
  • 320 Pages
  • Computers + Internet, Databases

Description



About the Book



The purpose of this book is to usher readers into the world of data, ensuring a comprehensive understanding of its nuances, intricacies, and complexities. With Python 3 as the primary medium, the book underscores the pivotal role of data in modern industries, and how its adept management can lead to insightful decision-making. The book provides a q



Book Synopsis



The purpose of this book is to usher readers into the world of data, ensuring a comprehensive understanding of its nuances, intricacies, and complexities. With Python 3 as the primary medium, the book underscores the pivotal role of data in modern industries, and how its adept management can lead to insightful decision-making. The book provides a quick introduction to foundational data-related tasks, priming the readers for more advanced concepts of model training introduced later on. Through detailed, step-by-step Python code examples, the reader will master training models, beginning with the kNN algorithm, and then smoothly transitioning to other classifiers, by tweaking mere lines of code. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced, offering readers a hands-on experience in rendering charts and graphs. Companion files with source code and data sets are available by writing to the publisher.



About the Author



Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over thirty-five books including Python 3 Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).
Dimensions (Overall): 9.0 Inches (H) x 7.0 Inches (W) x .57 Inches (D)
Weight: .94 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 320
Genre: Computers + Internet
Sub-Genre: Databases
Publisher: Mercury Learning and Information
Theme: Data Mining
Format: Paperback
Author: Oswald Campesato
Language: English
Street Date: December 11, 2023
TCIN: 1003612620
UPC: 9781501521997
Item Number (DPCI): 247-05-1222
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.57 inches length x 7 inches width x 9 inches height
Estimated ship weight: 0.94 pounds
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