Topic: finding-donors Goto Github
Some thing interesting about finding-donors
Some thing interesting about finding-donors
finding-donors,Udacity Machine Learning Engineer Nanodegree Supervised Learning Project: Finding Donors for CharityML
User: adityasahastrabudhe01
finding-donors,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.
User: aesmat88
finding-donors,Finding out the donors who earn more than $50K annually using Machine Learning
User: ajaysingh027
finding-donors,My submission for udacity nanodegree finding-donors project
User: anshulika-prasad
finding-donors,Finding Donor for CharityML - Machine Learning Nanodegree from Udacity
User: ashva7
finding-donors,Data Science project using Census Income dataset. (Kaggle Competition)
User: brunocampos01
finding-donors,Charity donor prediction
User: cdumen
finding-donors,A ML notebook that explores census data to determine whom is more likely to donate.
User: coreyjs
finding-donors,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.
User: esmailessam
finding-donors,Finding Donors for CharityML using supervised learners.
User: faisal-aldhuwayhi
finding-donors,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
User: gouravaich
finding-donors,Machine Learning Engineer Nanodegree -Supervised Learning -Project: Finding Donors for CharityML
User: idan707
finding-donors,ML Project done in Udacity Course
User: jetjodh
finding-donors,Finding donors using supervised learning
User: jlcossi
finding-donors,Find Donors for CharityML for Udacity Machine Learning Engineer Nanodegree
User: josancamon19
finding-donors,Finding Charity Donors -- Udacity MLND
User: jquickgh
finding-donors,Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
User: juzershakir
Home Page: http://nbviewer.jupyter.org/github/JuzerShakir/Finding-Donors-CharityML/blob/master/report.ipynb
finding-donors,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
User: kalthommusa
finding-donors,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.
User: kareem100
finding-donors,Udacity Data Science Nanodegree program, supervised learning, finding donors project
User: kusainov
finding-donors,Supervised Learning: Finding Donors for CharityML
User: lamavar
finding-donors,Created AdaBoost Model to predict the whether the income is <=50K or >50K of an individual. In order to find potential donors.
User: m-ahmadshaikh
finding-donors,Udacity Nano degree program 1st project
User: mabdelhamid2001
finding-donors,Build an algorithm to best identify potential donors of CharityML
User: manaralharbi
finding-donors,Created AdaBoost Model to predict whether the income is <=50K or >50K of an individual. In order to find potential donors.
User: mervat-khaled
finding-donors,Udacity机器学习进阶,为CharityML寻找捐献者
User: midas-gufei
finding-donors,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...
User: mohamedibraa
finding-donors,This repository consists of all the projects carried out by me during the period of Data scientist Nanodegree
User: mohancr97
finding-donors,Machine Learning Engineer Nanodegree, Supervised Learning, Finding Donors for CharityML
User: moreirab
finding-donors,First project of Data science nanodegree (Supervised learning)
User: rawan-alharbi
finding-donors,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.
User: robertyoung2
finding-donors,Udacity Machine Learning Engineer Nanodegree, Supervised learning project (Oct 2018)
User: rpradeepsurya
finding-donors,In this project I use classification models to predict potential donors given a set of demographic factors.
User: sohrabrahimi
finding-donors,Machine Learning Nano-degree Project : To help a charity organization identify people most likely to donate to their cause
User: sushantdhumak
finding-donors,my nd009 project 2 finding donors
User: wuyuxiao3
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