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

Credit card fraud has become one of the most common use cases for anomaly detection systems. The number of fraud attempts has risen sharply in recent years, resulting in billions of dollars in losses. Early detection of fraud attempts with … Continued

Stock Market Prediction using Multivariate Time Series and Recurrent Neural Networks in Python

Time series forecasting has become a popular domain for applying deep learning technologies and recurrent neural networks in recent years. Regression models based on recurrent neural networks can recognize patterns in large data sets and thus make more accurate predictions … Continued