From 6f95d763bb46656be03ecf471cc02ccd527d5246 Mon Sep 17 00:00:00 2001
From: shivamlalakiya <shivamlalakiya151299@gmail.com>
Date: Tue, 11 Aug 2026 18:02:38 -0500
Subject: [PATCH] Add PhilanthroPy to General Purpose Machine Learning

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 14a91fc..7bf5c73 100644
--- a/README.md
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@@ -98,6 +98,7 @@
 * [metric-learn](https://github.com/all-umass/metric-learn) - Metric learning algorithms in Python. <img height="20" src="img/sklearn_big.png" alt="sklearn">
 * [pyGAM](https://github.com/dswah/pyGAM) - Generalized Additive Models in Python.
 * [causalml](https://github.com/uber/causalml) - Uplift modeling and causal inference with machine learning algorithms. <img height="20" src="img/sklearn_big.png" alt="sklearn">
+* [PhilanthroPy](https://github.com/PhilanthroPy-Project/PhilanthroPy) - Scikit-learn native toolkit for nonprofit fundraising analytics: donor propensity, lapse, planned-giving, wealth-screening and revenue-forecasting estimators. <img height="20" src="img/sklearn_big.png" alt="sklearn">
 
 ### Gradient Boosting
 * [XGBoost](https://github.com/dmlc/xgboost) - Scalable, Portable, and Distributed Gradient Boosting. <img height="20" src="img/sklearn_big.png" alt="sklearn"> <img height="20" src="img/gpu_big.png" alt="GPU accelerated">