This step-by-step guide is aimed at beginners who know a little Python and are looking for a quick, fast-paced introduction. Author Alex Galea explores machine learning models with real datasets. The book ends by showing how easy it can be to scrape and gather data from the open web.
<ASIN:1789532027>
Author: Alex Galea Publisher: Packt Publishing Date: June 2018 Pages: 194 ISBN: 978-1789532029 Print: 1789532027 Kindle: B07DNJ9KKL Audience: Python developers Level: Introductory Category: Data Science
- 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
For recommendations of books on big data, see Reading Your Way Into Big Data. For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.
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Coding All-In-One For Dummies
Author: Chris Minnick Publisher: For Dummies Pages: 912 ISBN: 978-1119889564 Print: 1119889561 Kindle: B0B5BBNW9L Audience: People wanting to learn to code in JavaScript, Flutter and Python Rating: 3.5 Reviewer: Kay Ewbank
This book is described as offering an ideal starting place for learning th [ ... ]
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Python All-in-One, 2nd Ed (For Dummies)
Authors: John Shovic and Alan Simpson Publisher: For Dummies Date: April 2021 Pages: 720 ISBN: 978-1119787600 Print: 1119787602 Kindle: B091DGDLK8 Audience: People wanting to learn Python Rating: 2 Reviewer: Mike James All-in-one refers to the fact that this is seven books put together - why?
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