Studying the Effectiveness of Online College Education in India from Student Feedback

The mental issue of the students during pandemic and after pandemic attracts researchers to find out the reasons of mental health problem and solutions. The investigation motivated the researchers to discover the issues and challenges which are encountered by the college and university students and trying to get the resolutions for those challenges, which will avoid the similar kind of scenario in future if the country will face the 3 rd wave of pandemic. The different challenges encountered by the students during e-learning approach. We have collected a dataset after pandameic-2020 from our University and applied different kind of Machine learning algorithms to analyze and recognize some health issues which must be avoided from the students. The mental health of a student is the primary need for the education, so we are here focused and analyzed different factors which are relay effecting to the students during pandemic. We did two experiments and conclude that optimum result from DBSCAN in our dataset is 8 clusters with $2 \%$ noise. The optimum result from K-means result is 3 clusters.