Title	A Predictive Model to identify possible affected Bipolar disorder students using Na?ve Baye’s, Random Forest and SVM machine learning techniques of data mining and Building a Sequential Deep Learning Model using Keras
Author	S. Peerbasha1*, M. Mohamed Surputheen
Citation	Vol. 21  No. 5  pp. 267-274
Keywords	Artificial intelligence · Bipolar illness · Data mining techniques · Na?ve Baye’s classification · Random forest classification ? SVM classification

Title	A Predictive Model to identify possible affected Bipolar disorder students using Na?ve Baye’s, Random Forest and SVM machine learning techniques of data mining and Building a Sequential Deep Learning Model using Keras
Author	S. Peerbasha1*, M. Mohamed Surputheen
Citation	Vol. 21  No. 5  pp. 267-274
Keywords	Artificial intelligence · Bipolar illness · Data mining techniques · Na?ve Baye’s classification · Random forest classification ? SVM classification

Title	Prediction of Academic Performance of College Students with Bipolar Disorder using different Deep learning and Machine learning algorithms
Author	S. Peerbasha, M. Mohamed Surputheen
Citation	Vol. 21  No. 7  pp. 350-358
Keywords	Logistic Regression, Random Forest classifier, Decision tree classifier, K-Neighbours classifier, Ada Boost classifier, Extra Tree classifier, GaussianNB.

Title	Prediction of Academic Performance of College Students with Bipolar Disorder using different Deep learning and Machine learning algorithms
Author	S. Peerbasha, M. Mohamed Surputheen
Citation	Vol. 21  No. 7  pp. 350-358
Keywords	Logistic Regression, Random Forest classifier, Decision tree classifier, K-Neighbours classifier, Ada Boost classifier, Extra Tree classifier, GaussianNB.