Summary
In this chapter, we’ve started with a definition of time series and its main properties. We gave examples for time-series and their basic characteristics. Further, we went through different kinds of problems such as forecasting, regression, classification, anomaly detection, and other types of analyses relevant to machine learning and statistics. Finally, we’ve tried to give a broad overview of applications of time series and a history of time series applications in astronomy and meteorology.In the next chapter, we'll look at time series analysis with Python.
