Understanding Human Learning and Decision Making Process based on Jungian Analytical Psychology by incorporating Python and Data Science

Abstract

An updated version of MBTI is the Jungian Analytical Archetypes where the same 16 types of personality exist but the typecasting is done not by the letters but the cognitive functions and their positions in respective slots. It is an analytical psychology psychotherapeutic technique in which the analyst and patient Collaborate to put unconscious psyche components into a more balanced relationship with conscious knowledge and experience. In our study, a Jungian analysis-based customized questionnaire was made and asked to people. Both supervised and unsupervised approaches to machine learning were used in our study. The Random Forest Classifier and k-means clustering algorithms were used to generate predictions of personalities with a supervised learning module. The results of this study's methodology were compared to those of other existing methods, and the results showed that this methodology performed better in terms of accuracy and reliability. Our study also has a great potential of helping people in various ways.