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Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science

Language EnglishEnglish
Book Paperback
Book Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science Manoj Kumar
Libristo code: 44208658
Publishers IGI Global, June 2023
The world is approaching a point where big data will start to play a beneficial role in many industr... Full description
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The world is approaching a point where big data will start to play a beneficial role in many industries and organizations. Today, analyzing data for new insights has become an everyday norm, increasing the need for data analysts to use efficient and appropriate tools to provide quick and valuable results to clients. Existing research in the field currently lacks a full coverage of all essential algorithms, leaving a knowledge void for practical implementation and code in Python with all needed libraries and links to datasets used. Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science serves as a one-stop book to help emerging data scientists gain hands-on skills needed through real-world data and completely up-to-date Python code. It covers all the technical details, from installing the needed software to importing libraries and using the latest data sets; deciding on the right model; training, testing, and evaluating the model; and including NumPy, Pandas, and matplotlib. With coverage on various machine learning algorithms like regression, linear and logical regression, classification, support vector machine (SVM), clustering, k-nearest neighbor, market basket analysis, Apriori, k-means clustering, and visualization using Seaborne, it is designed for academic researchers, undergraduate students, postgraduate students, executive education program leaders, and practitioners.

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About the book

Full name Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science
Language English
Binding Book - Paperback
Date of issue 2023
Number of pages 328
EAN 9781668486979
ISBN 1668486970
Libristo code 44208658
Publishers IGI Global
Weight 619
Dimensions 178 x 254 x 18
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