Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
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Updated
Jun 2, 2021 - HTML
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
Demography Thesis Proposal
a set of functions that make it easy for PSRC staff to get Census and ACS data
Virginia data from the USDA Census of Agriculture 2012
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.
Big Data Technologies project for Data Science master degree
Wazimap is a Django application for exploring census data. This is a @CodeForAfrica maintained version of the package that aims to remain compatible while implementing edge features. e.g releases
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.
Build an algorithm to best identify potential donors of CharityML
Proyecto de análisis exploratorio de datos del Censo 2017
Working with various data files from the Census of Population (Statistics Canada)
Analyze FBI gun data and unveil the relationships between multiple variables
ioslides presentation on working with ACS.R
Responsive email modules for the U.S. Census Bureau for Storyports and GovDelivery integration.
Add a description, image, and links to the census topic page so that developers can more easily learn about it.
To associate your repository with the census topic, visit your repo's landing page and select "manage topics."