Data Literacy With Python
Data Literacy With Python
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Zusammenfassung
Ushers 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.
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Data Literacy With Python by Oswald Campesato
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
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).
| SKU | Nicht verfügbar |
| ISBN 13 | 9781501521997 |
| ISBN 10 | 1501521993 |
| Titel | Data Literacy With Python |
| Autor | Oswald Campesato |
| Buchzustand | Nicht verfügbar |
| Bindungsart | Paperback |
| Verlag | De Gruyter |
| Erscheinungsjahr | 2023-11-30 |
| Seitenanzahl | 254 |
| Hinweis auf dem Einband | Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden. |
| Hinweis | Nicht verfügbar |