Advanced interdisciplinary applications of machine learning Python libraries for data science
Title By: Biju, Soly [Edited by] | Mishra, Ashutosh [Edited by] | Kumar, Manoj [Edited by]
Material type:
BookDescription: pages cm.ISBN: 9781668486962Subject(s): Python (Computer program language) | Quantitative research -- Data processing | Computer programming | Machine learningDDC classification: 005.133 AD VA Online resources: Ebook | Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 005.133 AD VA (Browse shelf) | Available | T0065604 |
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| 005.131 WE CO Concurrent and real-time programming in Java | 005.131 WE CO Concurrent and real-time programming in Java | 005.133 AD CP C++ : | 005.133 AD VA Advanced interdisciplinary applications of machine learning Python libraries for data science | 005.133 AG DA Data structures using C | 005.133 AL CP C# 7.0 pocket reference : | 005.133 AL CS C# essentials / |
Includes bibliographical references and index.
"This book will help emerging data scientist to gain hands on skills needed through real world data and completely up to date Python code. This book covers all the technical details right from installing the needed software to importing libraries and using latest data sets, deciding on the right model, training and testing, evaluation of the model. It will also cover NumPy, Pandas and matplotlib. It covers various machine learning like Regression, linear and logical Regression, Classification, SVM (support Vector Machine), clustering, KNearest Neighbor, Market basket analysis, Apriori, K Means clustering, Visualization using Seaborne. None of the existing books in the field covers all the essential algorithms with practical implementation and code in Python with all needed libraries and provides links to datasets used"--