finding-donors
There are 35 repositories under finding-donors topic.
robertyoung2/Finding-Donors-for-CharityML
Investigated factors affecting likelihood of donations being made using real census data. Developed naive classifier to compare testing results. Trained & tested several supervised machine learning models on preprocessed census data to predict donation likelihood. Selected best model based on accuracy, modified F-score metric, & algo efficiency.
MohanCR97/Udacity-Data_Scientist_Nanodegree
This repository consists of all the projects carried out by me during the period of Data scientist Nanodegree
sushant1827/Finding-Donors-for-Charity-using-Machine-Learning
Machine Learning Nano-degree Project : To help a charity organization identify people most likely to donate to their cause
ajaySingh027/Finding_Donors_Charity_ML
Finding out the donors who earn more than $50K annually using Machine Learning
brunocampos01/finding-donors
Data Science project using Census Income dataset. (Kaggle Competition)
coreyjs/finding_donors
A ML notebook that explores census data to determine whom is more likely to donate.
gouravaich/finding-donors-for-charity
Apply supervised machine learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause
ManarAlharbi/DSND-Term1-Finding_Donors
Build an algorithm to best identify potential donors of CharityML
rongmax-gufei/udacity-mlnd-finding-donors
Udacity机器学习进阶，为CharityML寻找捐献者
adityasahastrabudhe01/finding_donors
Udacity Machine Learning Engineer Nanodegree Supervised Learning Project: Finding Donors for CharityML
aesmat88/finding_donors_Udacity_ML_Project
The Project for Udacity Machine Learning nanodegree - the supervised learning section - for a charity non-profit organization to detect the most possible donor individuals based on salary or annual income.
anshulika-prasad/finding_donors
My submission for udacity nanodegree finding-donors project
cdumen/Charity_Donor_Prediction_SML
Charity donor prediction
EsmailEssam/Finding-Donors-for-CharityML
Employing several supervised algorithms to accurately model individuals' income using data collected from the 1994 U.S. Census to construct a model that accurately predicts whether an individual makes more than $50,000, This sort of task can arise in a non-profit setting, where organizations survive on donations.
Idan707/MLND_FindingDonors
Machine Learning Engineer Nanodegree -Supervised Learning -Project: Finding Donors for CharityML
jlcossi/finding_donors
Finding donors using supervised learning
kalthommusa/Finding-Donors-for-CharityML
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
Kusainov/udacity-finding-donors
Udacity Data Science Nanodegree program, supervised learning, finding donors project
lamavar/finding-donors
Supervised Learning: Finding Donors for CharityML
MAbdelhamid2001/-Finding-Donors-for-CharityML
Udacity Nano degree program 1st project
mervat-khaled/Finding-Donors-for-CharityML
Created AdaBoost Model to predict whether the income is <=50K or >50K of an individual. In order to find potential donors.
mohamedibraa/Finding-Donors-for-CharityML
Machine Learning Nanodegree Project Udacity. Investigated factors affecting likelihood of donations being made using real census data. Developed naive classifier to compare testing results. Trained & tested several supervised machine learning models on preprocessed census data to predict donation likelihood. Selected best model based on accuracy...
moreirab/finding-donors
Machine Learning Engineer Nanodegree, Supervised Learning, Finding Donors for CharityML
Rawan-Alharbi/Finding-Donors
First project of Data science nanodegree (Supervised learning)
rpradeepsurya/mlnd-finding-donors-charityml
Udacity Machine Learning Engineer Nanodegree, Supervised learning project (Oct 2018)
sohrabrahimi/Finding-Potential-Donors
In this project I use classification models to predict potential donors given a set of demographic factors.
wuyuxiao3/p2
my nd009 project 2 finding donors
ashva7/finding_donors
Finding Donor for CharityML - Machine Learning Nanodegree from Udacity
Faisal-AlDhuwayhi/Finding-Donors
Finding Donors for CharityML using supervised learners.
jetjodh/finding_donors
ML Project done in Udacity Course
josancamon19/finding_donors
Find Donors for CharityML for Udacity Machine Learning Engineer Nanodegree
jquickgh/finding-charity-donors
Finding Charity Donors -- Udacity MLND
JuzerShakir/Finding-Donors-CharityML
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
Kareem100/Finding-Donors-for-CharityML
Machine Learning Nanodegree Project Udacity. Investigated factors affecting likelihood of donations being made using real census data. Developed naive classifier to compare testing results. Trained & tested several supervised machine learning models on preprocessed census data to predict donation likelihood. Selected best model based on accuracy, modified F-score metric, & algo efficiency.
m-ahmadshaikh/Finding-Donors-for-CharityML
Created AdaBoost Model to predict the whether the income is <=50K or >50K of an individual. In order to find potential donors.