# 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.

#### Free Machine Learning & Data Science Coding Tutorials in Python & R for Beginners. Subscribe @ Western Australian Center for Applied Machine Learning & Data Science.

Western Australian Center for Applied Machine Learning & Data Science – Membership

## Sign up to get end-to-end “Learn By Coding” example.

**Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!**

Latest end-to-end Learn by Coding Projects (Jupyter Notebooks) in Python and R:

**Applied Statistics with R for Beginners and Business Professionals**

**Data Science and Machine Learning Projects in Python: Tabular Data Analytics**

**Data Science and Machine Learning Projects in R: Tabular Data Analytics**

**Python Machine Learning & Data Science Recipes: Learn by Coding**