Progress Bars for Tracking the Progress of Data Science Workflow (Tqdm Python library)
Frustrated when the machine learning model is training? Ever wanted to track the progress of your machine learning models as it trains? In this video, I will be showing you how to use the Tqdm library in Python to monitor the progress of your machine learning model as it trains or also monitor the progress of any steps in the data science workflow. Particularly, we will creating a progress bar in a Jupyter notebook that will automatically update when your model is nearing completion.
👉 Code https://github.com/dataprofessor/code/blob/master/python/model_is_training_progress_bar.ipynb
👉 Install tqdm in Python: pip install tqdm
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