1. Introduction.      

1.1. Introduction

1.2. Multivariate versus univariate models

1.3. Overview of the ten-step methodology

1.4. Download the publication and the ebook  

2. Comparing all the ML models

2.1. Introduction

2.2. Fitting all models to the training set

2.3 Generating and plotting the predictions

2.4. Download the prediction plots

2.5. Analysing the prediction plots

2.6 Test errors of all models

2.7 Observations on the test errors

2.8. Training set errors for all models

2.9. Overfitting analysis for all models

2.10. Sensitivity analysis for all models

2.11. Naive test for all models

2.12. Producing and plotting the forecasts

2.13. Download the forecast plots

2.14. Final selection of the models

3. Conclusion

3.1. Conclusions