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Tutorial to learn how to train different machine learning methods to model glacier mass balance.

License: MIT License

Jupyter Notebook 100.00%
climate data-science glaciology machine-learning

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facusapienza21 avatar jordibolibar avatar pat-schmitt avatar

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ruitangtang khsjursen bocaooslo thomas-schellenberger facusapienza21 dannycao4079 rylanlee keeptg pat-schmitt jordibolibar briannarick regine ayobamiogunmolasuyi ppandit20 emma-rob speitzer selinawetter d-morenop mshiv shiph0326 jonatanmoreno777 julianbiesheuvel

project_mb_regression's Issues

Create Julia version of the tutorial using `MLJ.jl`

It would be great to offer students a chance to choose between Python and Julia. Julia has the nice MLJ.jl library which is a great alternative to scikit-learn.

We could re-use all the data processed in Python with OGGM, and jump directly to the training of the MB models using MLJ.jl.

Add xgboost

Add xgboost to future versions of environment.yml

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