Anomaly Detection in R

Are you concerned about inaccurate or suspicious records in your data? An anomaly detection algorithm could be the solution. One of many methods that can be used for detecting unusual data points is the anomaly detection algorithm. It is crucial in protecting computer networks from malicious activity and detecting fraudulent activities. This course will show you how to use advanced algorithms for anomaly scoring such as the isolation factor and local outlier factors. The UCI Wine Quality dataset will contain anomaly detection algorithms that can be used to identify wines with unusual characteristics and detect thyroid disease cases based on abnormal hormone measurements.