Time Series Anomaly Detection

Description

Worked on a model to detect anomalies in time series data for use in a monitoring system. Analyzed and visualized datasets using Pandas, Statsmodels, and Seaborn, and built machine learning models for anomaly detection with Scikit-learn to identify unusual patterns and trends.