Which models do you know for solving time series problems? Si | datascienceinfo

Which models do you know for solving time series problems?

Simple Exponential Smoothing: approximate the time series with an exponentional function
Trend-Corrected Exponential

Smoothing (Holt‘s Method): exponential smoothing that also models the trend
Trend- and Seasonality-Corrected Exponential Smoothing

(Holt-Winter‘s Method): exponential smoothing that also models trend and seasonality

Time Series Decomposition: decomposed a time series into the four components trend, seasonal variation, cycling varation and irregular component

Autoregressive models: similar to multiple linear regression, except that the dependent variable y_t depends on its own previous values rather than other independent variables.

Deep learning approaches (RNN, LSTM, etc.)