Speaker discusses time series forecasting, explaining its process and the importance of understanding patterns in data sets for accurate forecasting and decision-making. He also introduced the concepts of trend, stationarity, seasonality, and cyclicality in data analysis, and discussed the use of an auto-regressive model for time series forecasting.
12 окт 2024