Trang 1 FACULTY OF INFORMATION SYSTEMS______________________FINAL PROJECT REPORTMACHINE LEARNING IN BUSINESS ANALYTICSTOPIC: CREDIT CARD FRAUD DETECTIONLecturer:1.. Data mining has been
UNIVERSITY OF ECONOMICS AND LAW FACULTY OF INFORMATION SYSTEMS FINAL PROJECT REPORT MACHINE LEARNING IN BUSINESS ANALYTICS TOPIC: CREDIT CARD FRAUD DETECTION Lecturer: 1 Ho Trung Thanh, Ph.D Group 8: 1 Le Quang Thanh Tai 2 Nguyen Nghia 3 Nguyen Thi Thuy Hien 4 Nguyen Thi Yen Nhi Ho Chi Minh City, Month, 2023 Members of Group 8 NO FULL NAME STUDENT POINT / 10 SIGNATURE ID (INDIVIDUAL CONTRIBUTION) 1 Le Quang Thanh Tai K214111962 10/10 2 Nguyen Nghia K214060434 10/10 10/10 3 Nguyen Thi Thuy Hien K214061756 10/10 4 Nguyen Thi Yen Nhi K214060435 I Acknowledgements This research was supported by lecturer Ho Trung Thanh, who generously provided our team with knowledge and useful techniques to prepare for the course "Machine Learning in Business Analytics" and guided us correctly throughout the course to complete the study Any mistake is our fault for not accomplishing what he expected, and we sincerely express our gratitude to them We would also like to thank the team members who were enthusiastic, active in their activities, working, giving late-night comments, and supporting each other mentally throughout the course Group 8 II Commitment This study was carried out by members of Group 8 under the guidance of Lecturer Ho Trung Thanh If our team has any evidence of fraud in this research paper, we will certainly take full responsibility for penalties at all levels In addition, there are references to a few articles on related topics Ho Chi Minh City, March 21, 2023 Group 8 III Table of Content Members of Group 8 I Acknowledgements II Commitment III Table of Content IV List of Tables VII List of Figures VIII List of Acronyms IX GANTT CHART 1 ABSTRACT 2 Project overview and business issues understanding 3 Introduction to project 3 Objectives 4 Objects 5 Business challenges .5 Business values 6 Methods/Models 7 Tools and Programing language 7 Structure of project 7 Proposed research model 8 Chapter 1 – Data Understanding and Collection 10 IV 1.1 Dataset 10 1.2 Data understanding 10 1.2.1 Target column 10 1.2.2 Correlation 10 1.2.3 Missing data 11 Chapter 2 - Data preparation 2 Overview of Chapter 2 2 2.1 EDA 2 2.1.1 Descriptive Statistics: 2 2.1.2 Visualization 3 2.2 Data preprocessing 4 Chapter 3 – Modelling 5 Chapter 4 - Visualizing results and sharing the findings – Recommendation making 6 4.1 Visualizing results 6 4.2 Business solution 8 Chapter 5 Conclusion and Future Works 11 5.1 Conclusion 11 5.2 Contributions and restrictions 11 5.3 Future works 12 References 13 Appendix a V Document continues below Discover more fHrọocmm: áy trong phân tích kinh… MLBA00 Trường Đại học… 9 documents Go to course K224040493-BT1- Buổi 1 3 None Bài tập 1 Ngay 17.10 2 None 50 đề Đột phá tiếng anh điểm 9 + Bộ đề… 223 English 100% (12) prism-2 rw-answer- key-5-pdf-free-ie2… 25 English 93% (123) Prism 2 R&W Week 1 2 - Book 100% (10) 26 English Key Bài tập Tiếng Anh 9 Tập 2 Mai La… 22 English 90% (39) VI List of Tables Table 4 1 Experimental results without SMOTE 6 Table 4 2 Experimental results with SMOTE 7 VII List of Figures Figure 0 1 Research model 8 Figure 1 1 Positive Correlations……………………………………………………… 11 Figure 1 2 Negative Correlations 11 Figure 1 3 Missing data .11 Figure 2 1 Descriptive Statistics……………………………………………………… 2 Figure 2 2 Visualization 3 VIII