The importance of time series analysis cannot be overstated. This book provides key techniques to deal with time series data in real-world applications. Indispensable.

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about the technology

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

about the book

Time 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

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.