gimseng / 99-ML-Learning-Projects

A list of 99 machine learning projects for anyone interested to learn from coding and building projects
MIT License
577 stars 174 forks source link

Dependencies and libraries #24

Open gimseng opened 3 years ago

gimseng commented 3 years ago

For .py files, we need to have a requirement file and instruction on how to install it. There may be a need to do virtual environment or docker file deployment.

For Jupyter notebook, should we have some sort of standardised header codes to install a standard version of libraries? Also for Jupyter file, if we recommend google colab, then we don't have to worry about Jupyter notebook version and dependencies; otherwise, we should think about that.

gimseng commented 3 years ago

Not too sure about virtual environment and docker file for the moment. I basically spelled out the dependencies in my google colab running exercise 001 (see #37). For future purpose, we need to decide if this is the way we want to standardize our library requirements.

gimseng commented 3 years ago

Need to open this up. I think should have a few docs for different install requirements / dependencies: