[PDF] Classification Of Banking Clients According To Their Loan Default Status Using Machine Learning Algorithms - eBooks Review

Classification Of Banking Clients According To Their Loan Default Status Using Machine Learning Algorithms


Classification Of Banking Clients According To Their Loan Default Status Using Machine Learning Algorithms
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Download Classification Of Banking Clients According To Their Loan Default Status Using Machine Learning Algorithms PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Classification Of Banking Clients According To Their Loan Default Status Using Machine Learning Algorithms book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Classification Of Banking Clients According To Their Loan Default Status Using Machine Learning Algorithms


Classification Of Banking Clients According To Their Loan Default Status Using Machine Learning Algorithms
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Author : Suveshnee Reddy
language : en
Publisher:
Release Date : 2022

Classification Of Banking Clients According To Their Loan Default Status Using Machine Learning Algorithms written by Suveshnee Reddy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Banks and banking categories.




Big Data Analytics


Big Data Analytics
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Author : Anirban Mondal
language : en
Publisher: Springer
Release Date : 2018-12-11

Big Data Analytics written by Anirban Mondal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-11 with Computers categories.


This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India, in December 2018. The 29 papers presented in this volume were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems and frameworks; predictive analytics in healthcare and agricultural domains; and machine learning and pattern mining.



Proceedings Of The 2nd International Conference On Big Data Iot And Machine Learning


Proceedings Of The 2nd International Conference On Big Data Iot And Machine Learning
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Author : Mohammad Shamsul Arefin
language : en
Publisher: Springer Nature
Release Date : 2024-03-29

Proceedings Of The 2nd International Conference On Big Data Iot And Machine Learning written by Mohammad Shamsul Arefin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Computers categories.


This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2023), organised by Jahangirnagar University, Bangladesh, and Daffodil International University, Bangladesh, held in Dhaka, Bangladesh, during 6–8 September 2023. The book covers research papers in the field of big data, IoT and machine learning. The book is helpful for active researchers and practitioners in the field.



Machine Learning With Python


Machine Learning With Python
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Author : Tarkeshwar Barua
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-09-03

Machine Learning With Python written by Tarkeshwar Barua and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-03 with Computers categories.


This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence.



Artificial Intelligence For Capital Markets


Artificial Intelligence For Capital Markets
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Author : Syed Hasan Jafar
language : en
Publisher: CRC Press
Release Date : 2023-05-15

Artificial Intelligence For Capital Markets written by Syed Hasan Jafar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-15 with Computers categories.


Artificial Intelligence for Capital Market throws light on the application of AI/ML techniques in the financial capital markets. This book discusses the challenges posed by the AI/ML techniques as these are prone to "black box" syndrome. The complexity of understanding the underlying dynamics for results generated by these methods is one of the major concerns which is highlighted in this book. Features: Showcases artificial intelligence in finance service industry Explains credit and risk analysis Elaborates on cryptocurrencies and blockchain technology Focuses on the optimal choice of asset pricing model Introduces testing of market efficiency and forecasting in the Indian stock market This book serves as a reference book for academicians, industry professionals, traders, finance managers and stock brokers. It may also be used as textbook for graduate level courses in financial services and financial analytics.



Data Warehousing And Data Mining Question Bank With Answers A Comprehensive Handbook


Data Warehousing And Data Mining Question Bank With Answers A Comprehensive Handbook
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Author : S. R. Jena
language : en
Publisher: Independently Published by Amazon KDP
Release Date : 2025-03-19

Data Warehousing And Data Mining Question Bank With Answers A Comprehensive Handbook written by S. R. Jena and has been published by Independently Published by Amazon KDP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-19 with Computers categories.


In the ever-evolving landscape of data management and analytics, the fields of Data Warehousing and Data Mining have become crucial for organizations and researchers alike. Data warehousing facilitates efficient storage, retrieval, and analysis of vast amounts of structured data, while data mining uncovers hidden patterns, relationships, and insights that drive decision-making. With the growing importance of big data, artificial intelligence, and business intelligence solutions, mastering these concepts is essential for students, professionals, and academicians. Recognizing the need for a structured and comprehensive resource, we, the authors, have meticulously designed this book, "Data Warehousing and Data Mining Question Bank with Answers: A Comprehensive Handbook", to serve as a one-stop solution for learners preparing for academic examinations, competitive tests, and professional certifications. This book aims to provide well-organized, concept-driven, and exam-oriented content in the form of a question bank, making it a valuable asset for anyone looking to gain expertise in these domains. Why This Book? • Concise yet Comprehensive – Covers theoretical concepts, practical applications, and industry trends in a question-answer format. • Exam-Oriented Approach – Ideal for university exams, technical interviews, and competitive exams. • Industry-Relevant Examples – Demonstrates real-world applications of data warehousing and data mining techniques. • Simplified Language – Ensures clarity, making it accessible for both beginners and advanced learners. Who Should Read This Book? This book is tailored for: • Undergraduate and Postgraduate Students in Computer Science, Information Technology, and Data Analytics. • Competitive Exam Aspirants preparing for GATE, UGC-NET, and other certification exams. • Data Analysts, Data Engineers, and IT Professionals looking to strengthen their understanding of data warehousing and mining techniques. • Academicians and Researchers exploring emerging trends and practical applications in the field. Acknowledgements: We, the authors, are deeply thankful to our Director, NIET, NIMS University, Prof. Dr. Ashutosh Tripathi, Head of the Department, Prof. Dr. Vineet Mehan, and all faculty members for their constant encouragement and support. We also extend our sincere gratitude to the management of NIMS University for their invaluable assistance.



Soccer Analytics


Soccer Analytics
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Author : Clive Beggs
language : en
Publisher: CRC Press
Release Date : 2024-03-11

Soccer Analytics written by Clive Beggs and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-11 with Sports & Recreation categories.


Sports analytics is on the rise, with top soccer clubs, bookmakers, and broadcasters all employing statisticians and data scientists to gain an edge over their competitors. Many popular books have been written exploring the mathematics of soccer. However, few supply details on how soccer data can be analysed in real-life. The book addresses this issue via a practical route one approach designed to show readers how to successfully tackle a range of soccer related problems using the easy-to-learn computer language R. Through a series of easy-to-follow examples, the book explains how R can be used to: Download and edit soccer data Produce graphics and statistics Predict match outcomes and final league positions Formulate betting strategies Rank teams Construct passing networks Assess match play Soccer Analytics: An Introduction Using R is a comprehensive introduction to soccer analytics aimed at all those interested in analysing soccer data, be they fans, gamblers, coaches, sports scientists, or data scientists and statisticians wishing to pursue a career in professional soccer. It aims to equip the reader with the knowledge and skills required to confidently analyse soccer data using R, all in a few easy lessons.



A Hands On Introduction To Data Science


A Hands On Introduction To Data Science
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Author : Chirag Shah
language : en
Publisher: Cambridge University Press
Release Date : 2020-04-02

A Hands On Introduction To Data Science written by Chirag Shah and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-02 with Business & Economics categories.


An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.



Recent Advancements In Computational Finance And Business Analytics


Recent Advancements In Computational Finance And Business Analytics
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Author : Rangan Gupta
language : en
Publisher: Springer Nature
Release Date : 2024-09-03

Recent Advancements In Computational Finance And Business Analytics written by Rangan Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-03 with Computers categories.


This book presents the latest breakthroughs and cutting-edge advancements within this rapidly evolving field. By providing computational finance and business analytics, organizations can secure a competitive advantage in today’s data-driven and cutting-edge business landscape. This book explores the most recent innovations and significant developments in both the domains of computational finance and business analytics, offering a thorough overview of the current landscape. It encompasses various dimensions including: Business Analytics Financial Analytics HR & Marketing Analytics By integrating the latest theoretical insights with practical applications, this book equips researchers, practitioners, and students with the knowledge and tools necessary to explore and progress in the ever-changing realm of computational finance and business analytics. As the present organizations confront the challenges and adapt the opportunities presented by the data revolution, this book serves as an essential guide, illuminating the transformative frontiers where computational finance and business analytics are redefining the realm of possibilities.



Icdsmla 2020


Icdsmla 2020
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Author : Amit Kumar
language : en
Publisher: Springer Nature
Release Date : 2021-11-08

Icdsmla 2020 written by Amit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-08 with Technology & Engineering categories.


This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.