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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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Finding-Donors-for-Charity-using-Machine-Learning

sushantdhumak / Finding-Donors-for-Charity-using-Machine-Learning

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Machine Learning Nano-degree Project : To help a charity organization identify people most likely to donate to their cause

feature-selection supervised-learning accuracy confusion-matrix data-preprocessing data-normalization tuning-parameters gradient-boosting f1-score feature-importance gridsearchcv finding-donors naive-predictor skewed-data min-max-scaler fbeta-score
  • Updated Oct 19, 2019
  • Jupyter Notebook

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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