Predicting-Depression-Anxiety-and-Stress-levels-using-Machine-Learning-Techniques.

From the previous several decades, psychological health issues become more widespread among individuals. The present work delves into the realm of predictive modelling applied to predict psychological disorder, employing a multifaceted approach to improve the accuracy of mental health issues. By carefully arranging a complicated set of processes including data pre-processing, studying the data, constructing models, and improving them, the study endeavours to unlock the latent potential of machine learning algorithms for accurate predictions in the context of mental health issues.