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3/7 will be part 2 of our 3-part session on Boosted Regressions Trees (in Python). Ryan Vandermeulen (NOAA Fisheries) will show how to create matchups between survey data (in this case SEAMAP) and PACE remote-sensing reflectance. This dataset will be used to create a fish abundance prediction model.
Open to all (in and out of NOAA) so feel free to share link.
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@nmfs-openscapes/2026-jupyterhub
NMFS Friday HackHours 3/7 @ 12pm PT. Note new time 12 PT/3 ET.
Register for Zoom Link (only need to do once for the whole spring series): https://zoom.us/meeting/register/r-Zx5bztTdyylSEHe4Snug
Webpage: https://nmfs-opensci.github.io/NMFSHackDays-2026/
3/7 will be part 2 of our 3-part session on Boosted Regressions Trees (in Python). Ryan Vandermeulen (NOAA Fisheries) will show how to create matchups between survey data (in this case SEAMAP) and PACE remote-sensing reflectance. This dataset will be used to create a fish abundance prediction model.
Open to all (in and out of NOAA) so feel free to share link.
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