What are the time series algorithms?
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Answer / Shivani Verma
Time Series Algorithms are used to analyze and predict trends in sequential data. Examples include Autoregressive Integrated Moving Average (ARIMA), Exponential Smoothing (ETS), Vector AutoRegression (VAR), Long Short-Term Memory (LSTM) networks, Prophet, and many others. These algorithms can help in forecasting time series data, handling seasonality, identifying trends, and detecting anomalies.
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