Question

What are use cases for Docker in Data Science and Machine Learning?

Answer 1

Below are the use cases for Docker in Data Science and Machine Learning:-

1. It’s a pain to install xgboost in python on windows.

2. Tensorflow runs on python 3.X + only on windows but is fine with python 2.7 + on Mac or Linux.

3. The updated GridSearchCV library has a deprecated link to cross_validation module of scikit-learn and throws warnings all over.

If you are looking to learn Docker then you must take up the following Docker Training Course. Here is a video which you must watch to learn more about it.

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