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Alex Galea Beginning Data Science with Python and Jupyter (Digital)

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Book Title
Beginning Data Science with Python and Jupyter
Title
Beginning Data Science with Python and Jupyter
EAN
9781789532029
ISBN
9781789532029
Genre
Computing & Internet
Release Date
02/04/2023
Release Year
2023
Country/Region of Manufacture
GB
Publication Year
2018
Type
Textbook
Format
Paperback
Language
English
Publication Name
Beginning Data Science with Python and Jupyter: Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
Item Height
93mm
Author
Alex Galea
Publisher
Packt Publishing Limited
Item Width
75mm
Subject
Technology, Computer Science
Number of Pages
194 Pages

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Product Information

Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. Key Features Get up and running with the Jupyter ecosystem and some example datasets Learn about key machine learning concepts like SVM, KNN classifiers and Random Forests Discover how you can use web scraping to gather and parse your own bespoke datasets Book DescriptionGet to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll finish up by showing you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context. What you will learn Get up and running with the Jupyter ecosystem and some example datasets Learn about key machine learning concepts like SVM, KNN classifiers, and Random Forests Plan a machine learning classification strategy and train classification, models Use validation curves and dimensionality reduction to tune and enhance your models Discover how you can use web scraping to gather and parse your own bespoke datasets Scrape tabular data from web pages and transform them into Pandas DataFrames Create interactive, web-friendly visualizations to clearly communicate your findings Who this book is forThis book is ideal for professionals with a variety of job descriptions across 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 like Pandas, Matplotlib and Pandas providing you a useful head start.

Product Identifiers

Publisher
Packt Publishing Limited
ISBN-13
9781789532029
eBay Product ID (ePID)
28046432851

Product Key Features

Author
Alex Galea
Publication Name
Beginning Data Science with Python and Jupyter: Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
Format
Paperback
Language
English
Subject
Technology, Computer Science
Publication Year
2018
Type
Textbook
Number of Pages
194 Pages

Dimensions

Item Height
93mm
Item Width
75mm

Additional Product Features

Title_Author
Alex Galea
Country/Region of Manufacture
United Kingdom

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