Original PDF Ebook – Machine Learning for Time Series Forecasting with Python1st Edition – 9781119682363

Original PDF Ebook – Machine Learning for Time Series Forecasting with Python1st Edition – 9781119682363

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource _x000D_
Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. _x000D_
Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting. _x000D_
Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to: _x000D_
Understand time series forecasting concepts, such as stationarity, horizon, trend, and seasonality _x000D_
Prepare time series data for modeling _x000D_
Evaluate time series forecasting models’ performance and accuracy _x000D_
Understand when to use neural networks instead of traditional time series models in time series forecasting _x000D_
Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts. _x000D_
Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling. _x000D_