Technical requirements
In this chapter, we will use the following Python libraries and versions to create categorical encodings, create semantic embeddings, train an end-to-end model, and perform classic NLP preprocessing steps:
azureml-sdk 1.34.0azureml-widgets 1.34.0tensorflow 2.6.0numpy 1.19.5pandas 1.3.2scikit-learn 0.24.2nltk 3.6.2genism 3.8.3
Similar to previous chapters, you can execute this code using either a local Python interpreter or a notebook environment hosted in Azure Machine Learning.
All code examples in this chapter can be found in the GitHub repository for this book: https://github.com/PacktPublishing/Mastering-Azure-Machine-Learning-Second-Edition/tree/main/chapter07.
