![]() ![]() Those are the TOP 10 widely used Python frameworks for Data Science, and you’ll find most of them in any how-to article on the Internet. In this article, I’ll show you how to create your own Docker container, including the following frameworks for a comfortable start: Now we’re not building OpenCV from source but installing it from apt.Įnvironment setup is a common question when you start learning Machine Learning (ML). I’ve updated the container to Ubuntu 20.04 LTS base and speed up Docker build process. ![]() Prepare your personal ML environment in 3 minutes, excluding Docker image building time! Update 2020 We’ll install to the environment: Python 3, Jupyter, Keras, Tensorflow, TensorBoard, Pandas, Sklearn, Matplotlib, Seaborn, pyyaml, h5py. This article will continue the Docker-related article series and show how to create an Ubuntu 20.04 LTS based Docker container for Machine Learning. If you’re just looking for a working solution. ![]()
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