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Forecasting Time Series Data with R and Dataiku DSS
- Deep Learning for Time Series
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Deep Learning for Time Series
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Preparing the Data
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The Deep Learning Model for Time Series
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Model Results -- Deep Learning for Time Series
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Wrap Up: Deep Learning for Time Series
Time Series with Code
In two tutorials, learn to use R code to build traditional models and Keras code to build deep learning models for time series data
This course looks at two approaches to using code to build models for time series data:
- The R language has several packages built specifically to handle time series data, including forecast and zoo. In the first section of the course, you will learn how to use R in DSS for time series analysis, exploration, modeling, and time series model deployment.
- As an alternative to traditional time series models like ARIMA, you can use deep learning for forecasting. The second section of this course walks through how to build a long short-term memory (LSTM) network, using Keras code in Dataiku’s Visual Machine Learning.