Login
Login
National Data Archive
An Online Microdata Catalog
  • Home
  • Catalog
  • Citations
    Home / Central Data Catalog / ASHISHSNAIK_KDDCUP2014
central

'KDD Cup 2014' Kaggle Competition (post competition code)

ashishsnaik_KDDCup2014
ashishsnaik
Created on December 02, 2019 Last modified December 02, 2019 Page views 37 Metadata JSON
  • Project Description

Overview

Abstract
# Project based on the KDD Cup 2014 Challenge data

## Description

This project uses data from the 'KDD Cup 2014 Challenge' Kaggle Competition and attempts to predict "exciting" DonorsChoose.org projects and correlate them to school poverty levels in different US States. It identifies the top-5 projects per state that would benefit poorer schools. The project also attempts to compute a score indicating how exciting a project is relative to the poverty level of a school.
<br>
<br>
For detailed description of the project and the methodology used for analysis, please refer the KDDCupProjectSummary.pdf.
<br>
<br>
Link to KDD Cup 2014 Challenge Kaggle Competition: https://www.kaggle.com/c/kdd-cup-2014-predicting-excitement-at-donors-choose

## License

MIT License. Please refer LICENSE file for details.
Authoring entity
Agency Name Role
ashishsnaik owner
Language
English

Methods, software and scripts

Software
Name
R
Python
License
Name
MIT License

Metadata production

Producers
Name Role
GitHub Bot bot
Date of Production
01 December 2019
National Data Archive

© National Data Archive, All Rights Reserved.