Applied Data Science with Python and Jupyter

Alex Galea

5 valoraciones de Goodreads

Idioma: inglés

Editorial: Packt Publishing Limited, GB, 2018

1789958172 / 9781789958171

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Librería: Rarewaves.com USA, London, London, Reino UnidoRarewaves.com USA

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Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.Key FeaturesGet up and running with the Jupyter ecosystem and some example datasetsLearn about key machine learning concepts such as SVM, KNN classifiers, and Random ForestsDiscover how you can use web scraping to gather and parse your own bespoke datasetsBook DescriptionGetting started with data science doesn't have to be an uphill battle. Applied Data Science with Python and Jupyter is a step-by-step guide ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction to these concepts. In this book, you'll learn every aspect of the standard data workflow process, including collecting, cleaning, investigating, visualizing, and modeling data. You'll start with the basics of Jupyter, which will be the backbone of the book. After familiarizing ourselves with its standard features, you'll look at an example of it in practice with our first analysis. In the next lesson, you dive right into predictive analytics, where multiple classification algorithms are implemented. Finally, the book ends by looking at data collection techniques. You'll see how web data can be acquired with scraping techniques and via APIs, and then briefly explore interactive visualizations.What you will learnGet up and running with the Jupyter ecosystemIdentify potential areas of investigation and perform exploratory data analysisPlan a machine learning classification strategy and train classification modelsUse validation curves and dimensionality reduction to tune and enhance your modelsScrape tabular data from web pages and transform it into Pandas DataFramesCreate interactive, web-friendly visualizations to clearly communicate your findingsWho this book is forApplied Data Science with Python and Jupyter is ideal for professionals with a variety of job descriptions across a large range of industries, given the rising popularity and accessibility of data science. You'll need some prior experience with Python, with any prior work with libraries such as Pandas, Matplotlib, and Pandas providing you a useful head start.…

N° de ref. del artículo LU-9781789958171

Título
Applied Data Science with Python and Jupyter
Autor
Alex Galea
Editorial
Packt Publishing Limited, GB
Año de publicación
2018
Estado
New
Encuadernación
Paperback
Idioma
inglés
ISBN 10
1789958172
ISBN 13
9781789958171
Dimensiones
23.5 x 19.1 x 1.05 cm

Rarewaves.com USA

London, London, Reino Unido

Vendedor de 5 estrellas

Vendedor de IberLibro desde 11 de junio de 2025

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