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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Classification
Datasets
K-Means Clustering
Machine Learning
Machine Learning Applications
Market Basket Analysis
Model Building
Model Evaluation
Python Code for Data Science
Visualization

Table of Contents

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Editor/Author Biographies

Soly Mathew Biju has been in the field of academic and IT industry for a total of 25 years. She has a Ph.D. in Computer Science and also an MBA in IT management. She is currently an Associate Professor at the Faculty of Engineering and Information Sciences, University of Wollongong in Dubai. Dr Biju has achieved the CEng status awarded by Engineering Council (UK). She also has achieved the Chartered IT Professional status which is a symbol of excellence in the field of IT and is also an ISTQB-certified software testing professional. She is also a Fellow Higher Education Academy, UK. She was nominated for the Teaching Excellence and Research Excellence awards at UOWD on numerous occasions and received the prestigious Teaching Excellence Award in 2012, 2015 and 2019. She was also awarded the prestigious Amity Global Academic Excellence award in 2020. She spearheads the 'Global Health and Wellbeing ' cluster at UOWD. Her research interests include machine learning, data security, software testing, cryptography, e-learning, innovations in teaching, agile software development, online teaching, network security and programming techniques. She has papers published in reputed journals and books and presented and reviewed papers at national and international conferences and journals. She has been a scientific and organizing committee member and session chair and content chair on various reputed national and international conferences. She was nominated for the Teaching Excellence and Research Excellence awards at UOWD on numerous occasions and received the prestigious Teaching Excellence Award in 2012, 2015 and 2019. She was also awarded the prestigious Amity Global Academic Excellence award in 2020. Her research interests include machine learning, data security, software testing, cryptography, e-learning, innovations in teaching, agile software development, online teaching, network security and programming techniques. She has papers published in reputed journals and books and presented and reviewed papers at national and international conferences and journals. She has been a scientific and organizing committee member and session chair and content chair on various reputed national and international conferences.

Dr. Manoj Kumar completed his Ph.D. from The Northcap University and M.Sc. (Information Security and Digital Forensics) from Technological University Dublin, Ireland in 2013. He received fully-funded scholarship for the M.Tech and M.Sc. program from the MHRD, India abd Irish Government, respectively. Dr. Kumar is having more than 13.5+ years of research, teaching, and corporate experience. Currently, Dr. Kumar holds the position of Associate Professor at the University of Wollongong (UOWD) in Dubai. In addition, he serves as the UOWD Research Cluster Head for Network and Cyber Security. Dr. Kumar is listed among the top 2% of computer scientists worldwide. More than 175 of his publications have been published in international refereed journals and conferences. He published over 10 patents, delivered three international research funded projects, released three authored and eight edited books. In addition, he is also acting as an associate editor, Guest editor, and member of the editorial board for various scientific journals. His specializations are Digital Forensics, Machine Learning, Information Security, Image Processing, IOT and Computer Networking. Dr. Kumar is a member of numerous renowned professional bodies some of them like IEEE, ACM, IAENG, ISTS, and UACEE. Dr. Kumar received the Best Researcher Award in 2020, an Outstanding Scientist Award in 2021, and a Young Researcher Award in 2021 from recognized international professional bodies.

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