Honestly, how to run machine learning python scripts smoothly comes down to organization.
- Split your code into functions (load_data(), train_model(), etc.).
- Log everything (print() is fine, but `logging` is better).
- Use `tqdm` for progress bars—makes waiting less painful.
And if you’re on Windows, watch out for path issues. `os.path.join()` is a lifesaver.
- Split your code into functions (load_data(), train_model(), etc.).
- Log everything (print() is fine, but `logging` is better).
- Use `tqdm` for progress bars—makes waiting less painful.
And if you’re on Windows, watch out for path issues. `os.path.join()` is a lifesaver.
