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Created January 16, 2018 19:44
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Helper files for Atomic ML Hackathon

Getting Started with Machine Learning

Setting up a Dev Environment

  1. Download Miniconda
  2. bash path/to/Miniconda3-latest-MacOSX-x86_64.sh
  3. Test installation1: conda list.
  4. Create a new Python environment: conda create --name {env_name} python={version_number}
    • e.g. conda create --name frank python=3.6
  5. Activate environment: source activate {env_name}
    • e.g. source activate frank
  6. Add necessary packages: conda install jupyter pandas
  7. Start jupyter notebook: jupyter notebook

1 Some common solutions to failed test:

  1. Restart the Terminal.
  2. Add conda to your $PATH in bash profile.
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