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The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition

Język publikacji: angielskim
Autor:
Alex Galea
The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition Alex Galea - okladka książki

The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition Alex Galea - okladka książki

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
352
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From banking and manufacturing through to education and entertainment, using data science for business has revolutionized almost every sector in the modern world. It has an important role to play in everything from app development to network security.
Taking an interactive approach to learning the fundamentals, this book is ideal for beginners. You’ll learn all the best practices and techniques for applying data science in the context of real-world scenarios and examples.
Starting with an introduction to data science and machine learning, you’ll start by getting to grips with Jupyter functionality and features. You’ll use Python libraries like sci-kit learn, pandas, Matplotlib, and Seaborn to perform data analysis and data preprocessing on real-world datasets from within your own Jupyter environment. Progressing through the chapters, you’ll train classification models using sci-kit learn, and assess model performance using advanced validation techniques. Towards the end, you’ll use Jupyter Notebooks to document your research, build stakeholder reports, and even analyze web performance data.
By the end of The Applied Data Science Workshop, you’ll be prepared to progress from being a beginner to taking your skills to the next level by confidently applying data science techniques and tools to real-world projects.

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O autorze książki

Alex Galea has been professionally practicing data analytics since graduating with a masters degree in physics from the University of Guelph, Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics, where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve Python and Jupyter Notebooks.

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