This workshop uses Amazon SageMaker to train a prediction model using DeepAR algorithm. In this workshop we use the Deutsche Börse Public Dataset to train a model to predict securities transaction volume.
The workshop can be found in the file sagemaker-deepar.ipynb, all the instructions are in spanish.
The file util.py contains utilitarian methods to help the user recover the data set files.
This Workshop was tested using the SageMaker kernel DataScience in an ml.c5.large instance.
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.