Data scientists at the start of their careers often have the misconception that their job will be largely focused on training and improving models in a Jupyter notebook. The reality is that most data science value is created outside of a notebook.
This crash course is intended for data scientists with basic knowledge of developing machine learning models in a Jupyter notebook setting. By the end of the session, you will know:
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