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Blog: oceanspace.github.io
Type: User
Blog: oceanspace.github.io
Matrices and code related to phytoplankton taxonomic analysis based on pigment extractions
These are exercises are adapted from the exercises for Andrew Ng's Machine Learning course on Coursera (https://www.coursera.org/learn/machine-learning) to data from the Chesapeake Bay Program's water quality database (http://data.chesapeakebay.net/WaterQuality). They are in python, available as jupyter notebooks.
These are my Python versions of the exercises (originally written in Matlab) for the Coursera Machine Learning course
CMC Watershed TN Model
see the website at https://oceanspace.github.io
Statistic USGS water science R functions.
Material from Spark+AI Summit 2020 talk "Bring Satellite & Drone Imagery into Your Data Science Workflows"
noaa API with data visualized on react
CDM experiment files
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China tencent open source team.