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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
  

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 (Paperback)

By Galea, Alex

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Use powerful industry-standard tools to unlock new, actionable insight from your existing data 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 DescriptionGetting 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. Get 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 start with understanding the basics of Jupyter and its standard features. You'll be analyzing an example of a data analytics report. After analyzing a data analytics report, next step is to implement multiple classification algorithms. We'll then show 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. Finish up by learning to visualize these data interactively. What you will learn Identify potential areas of investigation and perform exploratory data analysis Plan a machine learning classification strategy and train classification models Use validation curves and dimensionality reduction to tune and enhance your models Scrape tabular data from web pages and transform it into Pandas DataFrames Create interactive, web-friendly visualizations to clearly communicate your findings Who this book is forThis course 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.
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ISBN 9781789532029
Released NZ 29 May 2018
Publisher Packt Publishing Limited
Format Paperback
Availability
Internationally sourced; ships 6-14 working days

Full details for this title

ISBN-13 9781789532029
Stock Available
Status Internationally sourced; ships 6-14 working days
Publisher Packt Publishing Limited
Imprint Packt Publishing Limited
Released 29 May 2018
Publication Country United Kingdom United Kingdom
Format Paperback
Author(s) By Galea, Alex
Category Computer Programming Languages
Data Capture & Analysis
Human-Computer Interaction
Number of Pages 194
Dimensions Width: 75mm
Height: 93mm
Spine: 10mm
Dewey Code 005.133
Weight 345g
Interest Age General Audience
Reading Age General Audience
Library of Congress Computers - Programming Languages - Python, Python Computer program language, Electronic data processing - Management, Data mining, Programming & scripting languages general
NBS Text Computing: Textbooks & Study Guides
ONIX Text General/trade

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