PREDICTION OF ADMISSION AND JOBS TRENDS IN THE FIELD OF ENGINEERING AND TECHNOLOGY, PHARMACY AND MANAGEMENT BASED ON THE DEMOGRAPHIC LOCATION

Published: 14 April 2023| Version 1 | DOI: 10.17632/c7rwzpx3ps.1
Contributor:
Om Patel

Description

AICTE-approved colleges all throughout India provided the data for the academic years 2013–2021 (India's state–by–state admission and placement statistics). The course name, state, year, institution type, enrollment, placement, and graduation rates were among the twelve variables taken into account. After handling missing values, there were between 1700 and 2000 samples in the raw data set. Two indicators for prospective enrolment and placement levels in the upcoming school year were created by algorithms.. statistics on AICTE-approved colleges in Gujarat for management, engineering, and technology programs was gathered from 2015 to 2021 (Gujarat district-level statistics for admission and placement). Eight factors, including admissions and placements for both public and private colleges in each area, were included in the data. Two predictors for possible enrolment and placement levels for the following year were generated using algorithms. A group-by-group study of the original data set's 5000–5500 samples resulted in a reduction of 1700–1000 samples. To predict enrollment and placement for certain districts, courses, and branches, the data may be used. statistics on government-approved startup firms in India were gathered (State-wise statistics for new startup companies) between 2016 and 2022, taking into account seven factors. A group-by-group study of the number of firms in each state and year decreased the data set's approximately 55,124 raw samples to an estimated 133,697. When projecting future company growth, the output offered information on the number of enterprises that had been founded in a certain industry and state. Data on particular student information, including names, enrolment, and areas like engineering, technology, and textiles, were gathered from LD Institute and are included in the set of data for the institutional study. The appropriate company of placement and the graduation year were included in the data set.

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Kadi Sarva Vishwavidyalaya

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Education

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