000			01199nam a2200193 4500
001			22811762
010			_a 2022286777
020			_a9781617299889
082	0	4	_a519.55 _bPEI/T
100	1		_aPeixeiro, Marco
245	1	0	_aTime series forecasting in Python
260			_aNew York _bManning _c2022
300			_axxv, 426 p. _billustrations ;
520			_aTime Series Forecasting in Python teaches you how to get immediate, meaningful predictions from time-based data such as logs, customer analytics, and other event streams. In this accessible book, you’ll learn statistical and deep learning methods for time series forecasting, fully demonstrated with annotated Python code. Develop your skills with projects like predicting the future volume of drug prescriptions, and you’ll soon be ready to build your own accurate, insightful forecasts. What's inside Create models for seasonal effects and external variables Multivariate forecasting models to predict multiple time series Deep learning for large datasets Automate the forecasting process
650		0	_aTime-series analysis
650		0	_aTime-series analysis
650		0	_aPython (Computer program language)
942			_cBK
999			_c76404 _d76404