Fraud-Detection

Inspiration

Anomaly detection can be a good candidate for machine learning since it is often hard to write a series of rule-based statements to identify outliers in data

What it does

Handle imbalanced datasets Build and evaluate a fraud detection model with tf.keras in AI Platform Notebooks with the given dataset With the help of Explainable AI SDK from within the notebook to understand why the model classified transactions as fraudulent

How we built it

We used AI Platform Notebooks to build and train a model for identifying fraudulent transactions, and understand the model's predictions with the Explainable AI SDK.

Accomplishments that we're proud of

We learned how we can filter datasets and find out the frauds in them

What we learned

We learned Google cloud, Explainable AI,AI Platform notebooks, Tensorflow, Keras API.

Built With

• ai
• google-cloud
• tensorflow