Ditch the command-line arguments from your machine learning code: use a config file
Real examples that you can incorporate into your code base
Sometimes, it’s the simple, unsung heroes that can make all the difference. Machine learning configuration — that is, the network architecture, the dataset root folder, the learning rate, et al. — is probably not something that’s going to get a lot of airtime when you’re rushing to get your next data analytics software to production. But, with all the work it’s doing, it’s only fair to call your config a hero.