There are 1 repository under charityml topic.
We developed a model that will predict the likelihood that a given employed citizens of CA as a potential donor of a fictitious charity organization, Charity ML.
Build an algorithm to best identify potential donors of CharityML
Finding doners for charityML
Supervised Learning - Finding Donors for CharityML
This project help identify people who are most likely to donate to CharityML(fictious charity organization)
Finding donors using supervised learning
Project-1 of Udacity's Introduction to Machine Learning with TensorFlow Nanodegree. "Finding Donors for CharityML" is a Supervised Learning Project with Scikit-learn that aims to build a model that accurately predicts whether an individual earns more than $50,000
Machine Learning Engineer Nanodegree, Supervised Learning, Finding Donors for CharityML
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
Finding Donor for CharityML - Machine Learning Nanodegree from Udacity
Finding Donors for CharityML using supervised learners.
Employing several supervised algorithms to accurately model individuals' income.
CharityML is a fictitious charity organization that was established to provide financial support for people eager to learn machine learning.
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
Udacity Machine Learning Nanodegree Supervised Learning Project
Applied supervised learning techniques on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause.