发帖
雷达卡
(英文，可编辑的pdf电子document)
Textbook:
The Complete Guide to Time Series Analysis and Forecasting Understand moving average, exponential smoothing, stationarity, autocorrelation, SARIMA, and apply these techniques in two projects.
Whether we wish to predict the trend in financial markets or electricity consumption, time is an important factor that must now be considered in our models. For example, it would be interesting to forecast at what hour during the day is there going to be a peak consumption in electricity, such as to adjust the price or the production of electricity.
...........
The Complete Guide to Time Series Analysis and Forecasting.pdf
(5.31 MB, 需要: RMB 19 元)
京公网安备 11010802022788号
