Multivariate Anomaly Detection on Time-Series Data in Python: Using Isolation Forests to Detect Credit Card Fraud

anomaly detection random isolation forests

Credit card fraud has become one of the most common use cases for anomaly detection systems. The number of fraud attempts has risen sharply, resulting in billions of dollars in losses. Early detection of fraud attempts with machine learning is … Read more

Crime Prevention in San Francisco using XGBoost and Python

san Francisco crime map python

This tutorial predicts crime types in San Francisco (SF) and plots them on a zoomable city map. We work with a Kaggle dataset containing past crimes and distinguish between 39 crime types, including vehicle theft, assault, and drug-related activities. We … Read more