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Results for S. Peerbasha1*; Total 2

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


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