An often overlooked part of machine learning is the fundamental setup of a functional, clean environment.
I’ve seen the question asked time and time again and was recently asked myself — how do we set up all of these things, from start to finish?
So this video will cover exactly that. We will go from installing Python through to setting up Pandas, TensorFlow, PyTorch, and more — and even adding a separate Machine Learning environment in Jupyter Lab (above).
Creating a New Environment
Adding the Environment to Jupyter
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