Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
21_3rdSemReport.pdf		21_3rdSemReport.pdf
21_4thSemReport.pdf		21_4thSemReport.pdf
21_Paper.pdf		21_Paper.pdf
21_ppt.pptx		21_ppt.pptx
Hybrid Model for Credit Card Fraud Detection.ipynb		Hybrid Model for Credit Card Fraud Detection.ipynb
README.md		README.md

Repository files navigation

Credit-Card-Fraud-Detection-using-Hybrid-Model

About

We have developed a Hybrid Model which consists of Random Forest, K-Nearest Neighbors, and Artificial Neural Network Algorithms using the Majority Voting Approach for detecting frauds in Credit Cards effectively and efficiently🙂.

artificial-neural-network knn-classifier majority-voting randomforestclassifier

Report repository

Releases

No releases published

Packages

Contributors

Languages

Jupyter Notebook 100.0%