With Classification, Clustering, Regression and Ensemble Learning, we have walked through the details of algorithms that are used in predicting outcomes of problems. We also observed ways of measuring which algorithm is better suited for what problem and the art of combining results from multiple models and building a best-case result. In this chapter, we will take our exploration of prediction to the next level and work on predicting outcomes that are dependent on time.
Forecasting Python