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Predicting Student’s Campus Placement Probability using Binary Logistic Regression
Author(s) -
Digpal Kumar,
Zailan Bin Siri P. Bindu,
D.S. Rao,
S. Anusha
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d5347.118419
Subject(s) - reputation , popularity , logistic regression , compensation (psychology) , plaintiff , graduation (instrument) , computer science , order (exchange) , function (biology) , state (computer science) , mathematics education , medical education , psychology , political science , business , mathematics , law , social psychology , machine learning , medicine , finance , algorithm , geometry , evolutionary biology , biology
Understudies trying to precise instructions for the most part chose instructive establishment with a notable popularity inside the primary settings. Many of those establishments several instances reputation controlled through bundles of compensation presented with the aid of the complainant for his understudies. In this putting it's far appropriate to explore and distinguish variables which could have an effect on the composition of the reason replacement special education .The threat within the State of Andhra Pradesh which has a excessive grouping established order of a unique training became appointed as research region. A careful survey of writing ends in a diagnosed proof of six determinants of speculative state of affairs inside the alternative special motive training.A arbitrary eg MBA alternative function information 250 is assembled from various organizations and located parallel relapse version became suited for the six signs for assessing information possibilities for placing alternative purpose. Assessed Results show that the possibility of putting in a simple exam is inspired by using 4 signs: CGPA, Specializes in PG, UG and Specialization in Gender.

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