Time Series Forecasting with statsmodels and Prophet - KDnuggets

Time series is a unique dataset within the data science field. The data is recorded on time-frequency (e.g., daily, weekly, monthly, etc.), and each observation is related to the other. The time series data is valuable when you want to analyze what happens to your data over time and create future predictions. Time series forecasting is a method to create future predictions based on historical time series data. There are many statistical methods for time series forecasting, such as ARIMA or Exponential Smoothing.