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We want to start a series of Data Dojos on machine learning. The task will be to classify tree species by their traits (e.g. height, stem diameter, geographic location). We'll use the recently published database:
Tallo
It contains measurements for almost 500k individual trees from more than 5k species.
The task for the first episode is: Explore and visualize the data. Filter the full set to ~5 species/genera with enough individuals and reasonable overlap to have an interesting classification problem.
Question Pool:
For Notebooks (R, python, julia, js, …) with real time collaboration CoCalc seems to be the best option right now. It worked great the last couple of times so we'll stick to it for now. You need to register an account there (it is free).
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