A guide to end-to-end Anomaly Detection using PyFBAD

Essentially, in anomaly detection, we are looking for observations that deviate from the norm, that either outperform or trail what we've discovered or defined as normal. Anomaly detection thus provides benefits from both a business and a technical standpoint. To perform the anomaly, one must rely on tools such as SciKit Learn. However, when it comes to performing end-to-end tasks, there are only a few options, such as PyFBAD, a Python-based package. Starting from the beginning, we can load data from various distributed servers to run SOTA algorithms for anomaly detection. We will talk about these tools in this article, but first, we will go over some of the important points listed below. Table of contents What is anomaly detection?Techniques of anomaly detectionAlgorithms for anomal