donor-prediction

Here are 3 public repositories matching this topic...

antonio-gaskin / Selection-and-Improvement-of-Supervised-Learning-Models-using-Scikit-learn

A Scikit-learn project for selecting, tuning, and evaluating supervised learning models on CharityML donor data.

python machine-learning scikit-learn model-selection supervised-learning classification data-analysis hyperparameter-tuning charityml donor-prediction

Updated Aug 7, 2026
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Tiana-Coker / donor-response-prediction

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A machine learning project that predicts donor response to help nonprofit organizations optimize fundraising outreach.

python machine-learning data-mining scikit-learn kaggle predictive-modeling binary-classification donor-prediction

Updated May 4, 2026

KhaledYaish0 / Finding-Donors-for-CharityML

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Predicting donor likelihood for CharityML using U.S. Census income data. This project applies supervised machine learning (Decision Tree, Random Forest, AdaBoost, SVM) to classify individuals earning above $50K/year, with model evaluation, hyperparameter tuning, and feature importance analysis.

machine-learning random-forest svm scikit-learn supervised-learning classification adaboost decision-trees income-prediction donor-prediction

Updated Sep 15, 2025
Jupyter Notebook

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