DATA SCIENCE WITH R. SUPERVISED LEARNING: UNIVARIATE TIME SERIES MODELS. DETERMINISTIC MODELS

This book delves into deterministic autoprojective time series prediction methods, which are essential tools in Data Science and, more specifically, in Predictive Artificial Intelligence. Holt Winters models, Brown models, moving average models, exponential models in general, state-space models, and time series models using neural networks are considered. A variety of exercises are developed using the prediction functions of R software for time series models.