Abstract:
Our research title is "Prediction model for a student to find best department of
undergraduate admission". We have used SPSS statistical platform for storing data
and we have use WEKA to find out best algorithm model for finding best outcome
according to our data structure. We have selected KNN model for our project. Finally
we have used python language to implement the project. In this study, originally
implemented by using Bangladeshi students' & educated employed students' real data.
The data has learned to a machine using python language which is helped us to find
out departments' successor prediction in percent serially. In this system, it has focused
on previous group & group courses' result first. Moreover it is focused on general
courses which process the overall result & match with the learned result which
priority is the best profession & success too. As we know Bangladeshi students are
too much brilliant. So, we think if they get the opportunity to choose which
department is best for him and then it will be helpful for their career.
