Data Literacy With Python
Author: Oswald Campesato (Author)
Publisher finelybook 出版社: Mercury Learning and Information
Publication Date 出版日期: 2023-11-30
Language 语言: English
Print Length 页数: 254 pages
ISBN-10: 1501521993
ISBN-13: 9781501521997
Book Description
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 modernindustries, 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.
FEATURES:
- Introduces tools like Sweetviz, Skimpy, Matplotlib, and Seaborn offering readers a hands-on experience in rendering charts and graphs
- Companion files with numerous Python code samples
About the Author
Oswald Campesato is an adjunct instructor at UC-Santa Cruz and specializes in Deep Learning, Python, Data Science, and GPT-4. He is the author/co-author of over forty books including Python and Machine Learning, Data Cleaning, and NLP for Developers (all Mercury Learning and Information).
未经允许不得转载:finelybook » Data Literacy With Python
相关推荐
The AI and Data Revolution: Understanding the New Data Landscape
Cybersecurity for SCADA Systems,2nd Edition
Mastering Deepfake Technology: Strategies for Ethical Management and Security
CMD Your Computer: An In-Depth Guide to Command Prompt,Batch Programming and Powershell
Mathematics for Biosciences: From Theory to Worked Examples and Applications
Basic Mathematical Foundations of AI: Hands on with Python (Mastering Machine Learning)