Time Series Analysis for Machine Learning

Trend, Outliers, Stationarity, Seasonality

Summary

In descriptive statistics, a time series is defined as a set of random variables ordered with respect to time. Time series are studied both to interpret a phenomenon, identifying the components of a trend, cyclicity, seasonality and to predict its future values. I think they are the best example of conjunction between the field of Economics and Data Science (stock prices, economic cycles, budgets and cash flows, …).