Time Series Models {Correlated Data}

Description

There are several models specifically designed for time series data, such as

• AutoRegressive Integrated Moving Average (ARIMA)
• Seasonal ARIMA (SARIMA)
• Prophet
• Long Short-Term Memory (LSTM) networks

These models are designed to capture the dependencies and patterns in time series data and may outperform traditional machine learning models.