About the project

Details

Author: Vincent Ibekwe

Data Source: kaggle.com
Algorithm: Deep Learning
Method: Artificial Neural Network - ANN
Packages Used: Tensorflow, Numpy, Pandas, Matplot, and Sciki-Learn
Outcome: 99% Accuracy Score
Year: 2019

This project employed Artificial Neural Network (ANN) to realize a very simplified model of the human brain aimed at learning tasks (to solve problems) mimicking the behavior of brain. By so doing, the model learned from the non-linear and complex relationships , which is really important in real-life scenarios. After the training, the model achieved 98.57% accuracy and the learning curve further shows the Accuracy and Loss curve at the end of non-linear as well as complex inputs and outputs.

Credit Card Fraud Detection with CNN