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This is forked from github.com/fastscience-ai


Quality lectures were in the form of Jupyter notebook.
Here, I transformed from notebook to python program with some tuning.
Below is original Readme contents

install conda

Go to https://docs.conda.io/en/latest/miniconda.html
Then download proper installer for your OS
bash [proper installer]

install tensorflow2.0 and all dependencies

conda env create --force --file environment.yml
source activate climate-ai

When we deactivate conda environments

conda deactivate

Dataset

  • PM2.5 in South Korea, from 2019 to 2020. 6-hourly
    https://drive.google.com/file/d/1gm0oD6N3puTgV_n0IOwEFTlbn37cvza3/view?usp=sharing
  • Hurricane Dataset
    https://library.ucsd.edu/dc/object/bb94252168

Lecture note

https://drive.google.com/drive/folders/1uyjhMoqjoYEPWyBM0ZKM5TiGjESUYofD?usp=sharing

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Code for Climate AI Lecture series

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  • Jupyter Notebook 98.8%
  • Python 1.2%