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4 search results found
Examples
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60
📝 Examples of how to use Neptune for different use cases and with various MLOps tools
Ds Ml Public
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49
Python Scripts and Jupyter Notebooks
Dash Predictive Maintenance
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10
Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.
Explainingtitanic
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5
A demonstration of the explainerdashboard package that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers, etc
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1-4 of 4 search results
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