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2022-Project-93-2

Flood risk prediction via machine learning methods



Vladislav Pyzh

Annotation

In this work we observe extreme weather condition predictions, we particularly focus on floods. We make predictions in short-term periods assuming we have stationary time series and in long-term periods assuming we have not stationary time series. The main feature of this problem is that we want to predict extreme values with high accuracy, whether prediction of low values is not very sufficient.

Code

Baseline:https://github.com/Intelligent-Systems-Phystech/2022-Project-93-2/blob/master/code/mean_std_classification_CASM.ipynb DL solution: https://github.com/Intelligent-Systems-Phystech/2022-Project-93-2/blob/master/code/CNN_CASM.ipynb

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this repositorycontains project on flood risk predictions

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