Time series Analysis Python

The three main types of time series models are moving average, exponential smoothing, and ARIMA . The crucial thing is to choose the right forecasting method as per the characteristics of the time series data.

These four components are:

Most commonly, a time series is a sequence taken at successive equally spaced points in time . Thus it is a sequence of discrete-time data. Examples of time series are heights of ocean tides, counts of sunspots, and the daily closing value of the Dow Jones Industrial Average.