Credit_card_New_fraud_detection___________________________

This is a credit CARD FRAUD DETECTION SYSYTEM

1. Department : Computer Science and Engineering

Title : Credit Card Fraud Detection

Guide : Mrs. Simran Choudhary (Assistant Professor)
Ravikant Vijayvargiya and Gajendra Saraswat • 18.09.2020

2. Overview
❖Introduction to Credit Card
Fraud Detection.

❖Introduction to Data

❖Model Training

❖Creating Web App

❖Sneak Peek into Our Web App

❖Conclusion
❖References
2

3. Introduction to
Credit Card
Fraud Detection
3
●Need of the hour.
●Complex
●Technological Limitations

4. Introduction to the Data
4

5. 5
●Dimensionally reduced

●Unbalanced

6. Model Training
6
●Logistic Regression with balanced
Class Weight.
●Over Sampling and Under Sampling
●Accuracy: 0.976
●Recall: 0.903

7. Creating Web App
7

8. 8

9. Sneak Peek into Our Web
App
9

10. 10

11. Conclusion
●Credit Card Fraud Detection is a
developing technique.
●Machine Learning advances will
achieve greater results in future.
11

12. References
●https://github.com/saarques/credit-card-fraud-detection

●https://github.com/RK1126/Temp/blob/master/Credit%20Card%20Frau
d%20Detection.ipynb

●https://credit-card-fraud-detect-ion.herokuapp.com/

12

13. Thank You!