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       Flavors of Machine Learning for Time Series Forecasting: In this section you learned a few standard definitions of important concepts, such as time series, time series analysis, and time series forecasting. You also discovered why time series forecasting is a fundamental cross-industry research area.

       Supervised Learning for Time Series Forecasting: In this section you learned how to reshape your forecasting scenario as a supervised learning problem and, as a consequence, get access to a large portfolio of linear and nonlinear machine learning algorithms.

       Python for Time Series Forecasting: In this section we looked at different Python libraries for time series data such as pandas, statsmodels, and scikit-learn.

       Experimental Setup for Time Series Forecasting: This section provided you with a general guide for setting up your Python environment for time series forecasting.