pythonmachine-learningkaggle-competitionwids-datathon UpdatedAug 19, 2018 Jupyter Notebook The dataset was created in collaboration with Climate Change AI (CCAI). Participants will submit forecasts of temperature and precipitation for one year, competing against the other teams as well as official foreca...
WiDS Datathon 2020 on patient health through data from MIT’s GOSSIS (Global Open Source Severity of Illness Score) initiative. correlationkaggle-competitionhyperparameter-optimizationlightgbmhyperoptfeature-engineeringmicehyperparameter-tuningshapelyadversarial-learningwidsadversarial-machine-learningfeature-importanc...
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Explore and run machine learning code with Kaggle Notebooks | Using data from WiDS Datathon 2022
The WiDS Datathon will run until March 1, 2023. Data analysis can be completed using your preferred tools. Tutorials, sample code, and other resources will be posted throughout the competition on the Kaggle Tutorial and Resources page. You will then upload your predictions for a test set to ...
Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more OK, Got it.Late Submissionmore_horiz WiDS Datathon 2023 Adapting to Climate Change by Improving Extreme Weather ForecastsOverview...
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Explore and run machine learning code with Kaggle Notebooks | Using data from Wids datathon (Optimizing Agricultural Production)
WiDS Datathon 2023 Adapting to Climate Change by Improving Extreme Weather ForecastsOverviewDataCodeModelsDiscussionLeaderboardRulesModels AllYour WorkShared With You Most Usage No models found Models from Kaggle's model hub used in public competition notebooks will appear here. Learn moreSyntaxError...
Explore and run machine learning code with Kaggle Notebooks | Using data from WiDS Datathon 2024 Challenge #1