Time Series Forecasting in Python (True EPUB, MOBI)

[LeeAndro]

English | 2022 | ISBN: 161729988X | 646 pages | True EPUB, MOBI | 27.09 MB

Build predictive models from -based patterns in your data.​

Master statistical models including new deep learning approaches for series forecasting.

In Series Forecasting in Python you will learn how to

Recognize a 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 series at once
Leverage large datasets by using deep learning for forecasting series
Automate the forecasting process

Series Forecasting in Python teaches you to build powerful predictive models from -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.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology
You can predict the future-with a little help from Python, deep learning, and series data! series forecasting is a technique for modeling -centric data to identify upcoming events. New Python libraries and powerful deep learning tools make accurate series forecasts easier than ever before.

About the book
Series Forecasting in Python teaches you how to get immediate, meaningful predictions from -based data such as logs, customer analytics, and other event streams. In this accessible book, you'll learn statistical and deep learning methods for 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 series
Deep learning for large datasets
Automate the forecasting process

About the reader
For data scientists familiar with Python and TensorFlow.

About the author
Marco Peixeiro is a seasoned data science instructor who has worked as a data scientist for one of Canada's largest banks.



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