Time Series Forecasting in Python - Marco Peixeiro
-25% su kodu BOOKS
Pristatymas per 10-16 d.d.
30 dienų grąžinimo politika
Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting.In Time Series Forecasting in Python you will learn how to: Recognize a time series forecasting problem and build a performant predictive model Create univariate forecasting models that account for seasonal effects and external variables Build multivaria ... Visas aprašymas
Aprašymas
Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting.
In Time Series Forecasting in Python you will learn how to:
- Recognize a time series forecasting problem and build a performant predictive model
- Create univariate forecasting models that account for seasonal effects and external variables
- Build multivariate forecasting models to predict many time series at once
- Leverage large datasets by using deep learning for forecasting time series
- Automate the forecasting process
Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You'll explore interesting real-world datasets like Google's daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.
Daugiau informacijos
| Autorius | Marco Peixeiro |
|---|---|
| Leidėjas | Manning Publications |
| Išleidimo metai | 2022 |
| Viršelio tipas | Minkšti viršeliai |
| EAN | 9781617299889 |