The Data Science Workshop - Second Edition
(eBook)
Author
Contributors
Joseph, Thomas, author.
John, Robert, author.
Worsley, Andrew, author.
Asare, Samuel, author.
Safari, an O'Reilly Media Company.
John, Robert, author.
Worsley, Andrew, author.
Asare, Samuel, author.
Safari, an O'Reilly Media Company.
Published
Packt Publishing, 2020.
Format
eBook
Edition
2nd edition.
Physical Desc
1 online resource (824 pages)
Status
Description
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Language
English
UPC
9781800566927
Notes
Description
Gain expert guidance on how to successfully develop machine learning models in Python and build your own unique data platforms Key Features Gain a full understanding of the model production and deployment process Build your first machine learning model in just five minutes and get a hands-on machine learning experience Understand how to deal with common challenges in data science projects Book Description Where there's data, there's insight. With so much data being generated, there is immense scope to extract meaningful information that'll boost business productivity and profitability. By learning to convert raw data into game-changing insights, you'll open new career paths and opportunities. The Data Science Workshop begins by introducing different types of projects and showing you how to incorporate machine learning algorithms in them. You'll learn to select a relevant metric and even assess the performance of your model. To tune the hyperparameters of an algorithm and improve its accuracy, you'll get hands-on with approaches such as grid search and random search. Next, you'll learn dimensionality reduction techniques to easily handle many variables at once, before exploring how to use model ensembling techniques and create new features to enhance model performance. In a bid to help you automatically create new features that improve your model, the book demonstrates how to use the automated feature engineering tool. You'll also understand how to use the orchestration and scheduling workflow to deploy machine learning models in batch. By the end of this book, you'll have the skills to start working on data science projects confidently. By the end of this book, you'll have the skills to start working on data science projects confidently. What you will learn Explore the key differences between supervised learning and unsupervised learning Manipulate and analyze data using scikit-learn and pandas libraries Understand key concepts such as regression, classification, and clustering Discover advanced techniques to improve the accuracy of your model Understand how to speed up the process of adding new features Simplify your machine learning workflow for production Who this book is for This is one of the most useful data science books for aspiring data analysts, data scientists, database engineers, and business analysts. It is aimed at those who want to kick-start their careers in data science by quickly learning data science techniques without going ...
Issuing Body
Made available through: Safari, an O'Reilly Media Company.
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
Citations
APA Citation, 7th Edition (style guide)
So, A., Joseph, T., John, R., Worsley, A., & Asare, S. (2020). The Data Science Workshop - Second Edition (2nd edition.). Packt Publishing.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Anthony So et al.. 2020. The Data Science Workshop - Second Edition. Packt Publishing.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Anthony So et al.. The Data Science Workshop - Second Edition Packt Publishing, 2020.
MLA Citation, 9th Edition (style guide)So, Anthony, et al. The Data Science Workshop - Second Edition 2nd edition., Packt Publishing, 2020.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
6b5c2143-a087-5296-fadc-46c4e3498c4d-eng
Grouping Information
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Full title | data science workshop |
Author | so anthony |
Grouping Category | book |
Last Update | 2024-04-16 12:23:35PM |
Last Indexed | 2024-04-20 03:30:17AM |
Book Cover Information
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First Loaded | Apr 16, 2023 |
Last Used | Mar 23, 2024 |
Marc Record
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Last File Modification Time | Apr 16, 2024 12:40:22 PM |
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542 | |f Copyright © 2020 Packt Publishing|g 2020 | ||
550 | |a Made available through: Safari, an O'Reilly Media Company. | ||
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