Book Content
chapters • 14h56m total length
1. Introduction to Time Series Analysis and R
2. Working with Date and Time Objects
3. The Time Series Object
4. Working with zoo and xts Objects
5. Decomposition of Time Series Data
6. Seasonality Analysis
7. Correlation Analysis
8. Forecasting Strategies
9. Forecasting with Linear Regression
10. Forecasting with Exponential Smoothing Models
11. Forecasting with ARIMA Models
12. Forecasting with Machine Learning Models
