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Data Literacy With Python
Paperback
November 2023
9781501521997
More details
- Publisher
Mercury Learning and Information - Published
27th November 2023 - ISBN 9781501521997
- Language English
- Pages 254 pp.
- Size 7" x 9"
$49.99
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November 2023
9781501518652
More details
- Publisher
Mercury Learning and Information - Published
20th November 2023 - ISBN 9781501518652
- Language English
- Pages 254 pp.
- Size 7" x 9"
$155.00
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November 2023
9781501518683
More details
- Publisher
Mercury Learning and Information - Published
20th November 2023 - ISBN 9781501518683
- Language English
- Pages 254 pp.
- Size 7" x 9"
$49.99
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.
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
1: Working with Data
2: Outlier and Anomaly Detection
3: Cleaning Datasets
4: Introduction to Statistics
5: Matplotlib and Seaborn
Appendices:
A. Introduction to Python
B. Introduction to Pandas
Index
Oswald Campesato
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).
Python 3; Sweetviz; Skimpy; Matplotlib; Seaborn; data analysis;