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Data Literacy With Python. A Comprehensive Guide to Understanding and Analyzing Data with Python Mercury Learning and Information, Oswald Campesato

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Data Literacy With Python. A Comprehensive Guide to Understanding and Analyzing Data with Python Mercury Learning and Information, Oswald Campesato - okladka książki

Data Literacy With Python. A Comprehensive Guide to Understanding and Analyzing Data with Python Mercury Learning and Information, Oswald Campesato - okladka książki

Data Literacy With Python. A Comprehensive Guide to Understanding and Analyzing Data with Python Mercury Learning and Information, Oswald Campesato - audiobook MP3

Data Literacy With Python. A Comprehensive Guide to Understanding and Analyzing Data with Python Mercury Learning and Information, Oswald Campesato - audiobook CD

Autorzy:
Mercury Learning and Information, Oswald Campesato
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
271
Dostępne formaty:
     PDF
     ePub
This book ushers readers into the world of data, emphasizing its importance in modern industries and how its management leads to insightful decision-making. Using Python 3, the book introduces foundational data tasks and progresses to advanced model training concepts. Detailed, step-by-step Python examples help readers master training models, starting with the kNN algorithm and moving to other classifiers with minimal code adjustments. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced for hands-on chart and graph rendering.
The course begins with working with data, detecting outliers and anomalies, and cleaning datasets. It then introduces statistics and progresses to using Matplotlib and Seaborn for data visualization. Each chapter builds on the previous one, ensuring a comprehensive understanding of data management and analysis.
These concepts are crucial for making data-driven decisions. This book transitions readers from basic data handling to advanced model training, blending theoretical knowledge with practical skills. Companion files with source code and data sets enhance the learning experience, making this book an invaluable resource for mastering data science with Python.

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O autorach książki

MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

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