Description
| Product ID: | 9781617299889 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Time Series Forecasting in Python |
| Authors: | Author: Marco Peixeiro |
| Page Count: | 456 |
| Subjects: | Data capture and analysis, Data capture & analysis, Data mining, Machine learning, Data mining, Machine learning |
| Description: | Select Guide Rating 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:
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. 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:
DESCRIPTION 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.Time Series Forecasting in Python teaches you to apply time series forecasting and get immediate, meaningful predictions. You''ll learn both traditional statistical and new deep learning models for time series forecasting, all fully illustrated with Python source code. 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. about the technologyTime series forecasting reveals hidden trends and makes predictions about the future from your data. This powerful technique has proven incredibly valuable across multiple fields—from tracking business metrics, to healthcare and the sciences. Modern Python libraries and powerful deep learning tools have opened up new methods and utilities for making practical time series forecasts.about the bookTime Series Forecasting in Python teaches you to apply time series forecasting and get immediate, meaningful predictions. You''ll learn both traditional statistical and new deep learning models for time series forecasting, all fully illustrated with Python source code. Test your skills with hands-on projects for forecasting air travel, volume of drug prescriptions, and the earnings of Johnson & Johnson. By the time you''re done, you''ll be ready to build accurate and insightful forecasting models with tools from the Python ecosystem. |
| Imprint Name: | Manning Publications |
| Publisher Name: | Manning Publications |
| Country of Publication: | GB |
| Publishing Date: | 2022-11-10 |
