Time Series Anomaly Detection

The goal of this project was to develop a model for detecting anomalies in time series data, which would be used in a monitoring system. The project included analyzing and visualizing data with Pandas, Statsmodel and Seaborn, and building ML Models for anomaly detection using Scikit-learn.