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ManarAlharbi / DSND-Term1-Finding_Donors

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Build an algorithm to best identify potential donors of CharityML

python machine-learning-algorithms jupyter-notebook prediction feature-selection feature-extraction supervised-learning accuracy confusion-matrix census decision-tree-classifier feature-importance random-forest-classifier gridsearchcv finding-donors charityml udacity-data-science-nanodegree logistic-regression-classifier fbeta-score
  • Updated Sep 18, 2019
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AnneQuinkenstein / AccidentsInBerlin

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Mithilfe von Machine Learning und Open Data zu Unfällen in Berlin (2018-2021) beantworten wir folgende Frage: Was sind die wichtigen Faktoren/Einflüsse auf Unfallgefahr? Und wie gut lässt sich damit die Unfallschwere überhaupt vorhersagen?

machine-learning random-forest pca auc baseline logistic-regression regularization weights data-cleaning bayesian-optimization hyperparameter-tuning knn-classification unbalanced-data bias-variance-tradeoff fbeta-score stratified-cross-validation corelation-of-features
  • Updated Nov 7, 2024
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