Time Series for Data Science Analysis and Forecasting

Time Series for Data Science: Analysis and Forecasting
English | 2023 | ISBN: 036753794X | 529 Pages | PDF (True) | 49 MB
Data Science students and practitioners want to find a forecast that "works" and don't want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject.