Forecasting, Data Science, Python, Data Visualization, Machine Learning.
Description: Monthly totals of international airline passengers (in thousands) from 1949 to 1960. Use Case: Useful for learning various time series forecasting methods, including Naive, Moving Average, Exponential Smoothing, Holt-Winters, ARIMA, and SARIMA. Where to Find: Available in the R