Inflation Rate Forecasting of Bangladesh using ARIMA and FBProphet model in Python
In this Learn by Coding example, you will learn how to perform a Time Series Forecasting using ARIMA & FBProphet modeling techniques in Python for Bangladesh Inflation 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 inflation rate of Bangladesh 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.
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: