Education Targeted Poverty Alleviation Research on Promoted Based on Big Data
Abstract
Combined with the national policy, in large data quantitative integration mode, the multivariate analysis reasons of poor students difficult to avoid the Matthew effect, combined with the northwest university for nationalities in Lanzhou data in colleges and universities, such as python crawler model, student module provides assistance to precise design method of concrete.
Keywords
Big data, Education poverty alleviation, Python, Quantitative score model, Multivariate analysis
DOI
10.12783/dtssehs/iceme2019/29630
10.12783/dtssehs/iceme2019/29630