Deepnote's data science portfolio
À propos de ce modèle
Planning a data science portfolio can be a daunting task. With portfolios being built over extended periods of time, it's essential to plan properly, document, and share progress and results at each stage. These templates enable individuals to brainstorm ideas, structure their approach, document intermediate results, and finally share them with the world.
