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 k NN 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
Campesato Oswald Campesato
Data Literacy With Python [EPUB ebook]
Data Literacy With Python [EPUB ebook]
Acquista questo ebook e ricevine 1 in più GRATIS!
Lingua Inglese ● Formato EPUB ● Pagine 254 ● ISBN 9781501518683 ● Casa editrice Mercury Learning and Information ● Pubblicato 2023 ● Scaricabile 3 volte ● Moneta EUR ● ID 9268152 ● Protezione dalla copia Adobe DRM
Richiede un lettore di ebook compatibile con DRM