Nowadays the subject of University Admissions is always much discussed, for this reason I realized this project based on Clustering Analysis which tries to:
- Understand what are the scores of the students which have the probability to be admitted greater than the mean.
- Understand what are the caratteristics of who is recognized as outlier.
- Understand which is the best cluster algorithm and the optimal number of clusters.
- Understand which is the best cluster algorithm in terms of misclassifications.
- Understand if the dummy variable 'Research' has a real impact on the probability of Admission.