Time Series Forecasting in Python

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.