Paper Title
Understanding Various Machine Learning and Deep Learning Algorithms for Depression Detection

Abstract
This paper presents working of various Machine Learning and Deep Learning Algorithms used in medical field for depression detection . This paper also shows the advantages limitations and most efficient algorithm for depression detection. From last decade, artificial intelligence have a huge impact on health care industries for each and every disease detection. This paper explains how disease prediction methods using machine learning and deep learning algorithms helps health care professional to assist their daily routine work. The working of these algorithms for depression detection using various data sets available has been explained here. Keywords - Machine Learning, Deep Learning, Depression, SVM, RNN, CNN, BERT, LSTM