Analyzing educational performances of the students using lasso type models: the relevant variables and endogeneity
Ebru Caglayan-Akay
| Year of publication: |
2019
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|---|---|
| Authors: | Çağlayan Akay, Ebru |
| Published in: |
The empirical economics letters : a monthly international journal of economics. - Rajshahi, ISSN 1681-8997, ZDB-ID 2560109-X. - Vol. 18.2019, 11, p. 1151-1160
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| Subject: | Education | Machine Learning | LASSO | Künstliche Intelligenz | Artificial intelligence | Studierende | Students | Bildungsniveau | Educational achievement | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012372787