iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
-
Updated
Jun 28, 2019 - Jupyter Notebook
#
credit-card-fraud
Here are 4 public repositories matching this topic...
Credit Card Fraud Detection Model with an accuracy of 91.24%.Uses AWS for training and tuning.
-
Updated
Nov 7, 2024 - Jupyter Notebook
Kaggle Notebook for Competition - https://www.kaggle.com/mlg-ulb/creditcardfraud
-
Updated
May 14, 2020 - HTML
Making use of real-world data, I have developed a Credit Card Fraud detection model. The entire notebook is well documented with comments and texts highlighting and explaining the methods, code and steps I have used in order to complete this challenge. The subjected code can be found in both Python as well as R
-
Updated
Dec 28, 2022 - HTML
Improve this page
Add a description, image, and links to the credit-card-fraud topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the credit-card-fraud topic, visit your repo's landing page and select "manage topics."