Credit card Fraud detection using AutoEncoders in Python
Rajasree Unnithan R
Oct 12, 2020
This project aims at detecting the fraud transactions among the Credit card transactions. Autoencoders in Keras is used for this.
Using the Autoencoders in the Keras in python, the frauds in the credit card transactions are detected.
1.Data Preprocessing
In this stage, the data is loaded into the notebook and the fraudulent and non fraudulent data are visualized.
2.Encoding and Decoding
Encoder takes the smallest possible representation of the data and extracts the most prominent features. Decoder decodes the encoded data and seperate it into fraud and non-fraud cases.
3.Training the model
The model is trained on 2000 non-fraud data observations
4.Visualizations
Here, the model loss, latent representations and TSNE plots are visualized.
Project Files
/
Loading...
| .. | ||
| This directory is empty. | ||
