GitHub - Ajay-Sai-Reddy/Credit-Card-Fraud-Detection: Fraud detection in the credit card applications is done with the hybrid classification of Self-Organizing-Maps and Artificial-Neural-Networks to achieve better accuracy than the conventional method

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Fraud detection in the credit card applications is done with the hybrid classification of Self-Organizing-Maps and Artificial-Neural-Networks to achieve better accuracy than the conventional method

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
.DS_Store		.DS_Store
Credit_Card_Applications.csv		Credit_Card_Applications.csv
SOM+DT.py		SOM+DT.py
SOM+KERSVM.py		SOM+KERSVM.py
SOM+KNN.py		SOM+KNN.py
SOM+LOGREG.py		SOM+LOGREG.py
SOM+NAIVEBAYES.py		SOM+NAIVEBAYES.py
SOM+RF.py		SOM+RF.py
SOM+SVM.py		SOM+SVM.py
SOM.ipynb		SOM.ipynb
Untitled.ipynb		Untitled.ipynb
australian with ann and som.py		australian with ann and som.py
australian_only_ann.py		australian_only_ann.py
minisom.py		minisom.py
som.py		som.py

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Fraud detection in the credit card applications is done with the hybrid classification of Self-Organizing-Maps and Artificial-Neural-Networks to achieve better accuracy than the conventional method

machine-learning deep-learning hybrid-classification