Analysis of Student Result using Machine Learning in Python
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Abstract
The higher education system suffers from various drawbacks and the main reason behind this is
difficulty in its evaluation and hindrances in improvement opportunities. analysis of Institutional
data is a new evolving concept which involves the development of different approaches to
examining the novel type of dataset coming from the institutional environment and utilizing
those approaches to recognize the students in a more appropriate way. In order to reach this
objective, the organizations are required to acquire in-depth knowledge to adequately perform
the task of assessing, forecasting, planning, evaluating, and decision making. A major part of the
information can be achieved through the organization’s old records and databases. Data
analyzing is simply a method of digging out unknown or in-depth knowledge from a set of a
huge dataset. This paper is basically produced to highlight the role of data analysis or mining and
its implications in the performance of higher education.
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