Population Prediction of Kenya with World Bank data using ARIMA model in Python
In this Learn by Coding example, we will learn how to perform a Time Series Forecasting using ARIMA modeling techniques in Python for Kenya Population Growth Rate Forecast. We will also learn how to differentiate original dataset to make to stationary as well as derive KPSS & ADF statistics. We will plot the auto-correlation and partial auto correlation as well. The end-to-end example is given below to forecast population growth rate of Kenya for the next decade.
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