Overview
In this video series, we will show how to read and index time series data using Python’s pandas package and how to build, predict or forecast an ARIMA time series model using Python’s statsmodels package and finally discuss how to evaluate time series model predictions using mean absolute error using Python’s statistics and matplotlib packages.
In this course, you will:
- Time series in Python
- Building an ARIMA time series
- To plot actual versus predicted values
- Problems with time series models
Course Contents
1. Read and Transform Your Data
- Read and Transform Your Data
2. ARIMA Modeling and Forecast Evaluation
- ARIMA Modeling and Forecasting
- Mean Absolute Error for Evaluation
