In a data science project, certain values such as file names, train-test split ratios, and hyperparameters often undergo frequent changes. By using configuration files instead of hard-coding these values, you can achieve better maintainability and flexibility.
Read it!A hands-on introduction to Recurrent Neural Networks in PyTorch.
Read it!A story about the first year of working at Stack Overflow after transitioning from academia.
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