| Deduction through data analyis | |
| Title: STUDENT STRESS LEVEL ANALYSIS | |
| Aims and Objectives: to analyze the collected data, to visualize the data, train a model that can predict student stress level using the given parameters | |
| From loading the data it can be deduced that mostly element on the dataset are based on grades from a questionnaire which gives the collector the opportunity to compare what student have in common in order to predict their stress level. | |
| The dataset has 11000 rows and 21 columns | |
| The following list comprises the column in the dataset(['anxiety_level', 'self_esteem', 'mental_health_history', 'depression','headache', 'blood_pressure', 'sleep_quality', 'breathing_problem','noise_level', 'living_conditions', 'safety', 'basic_needs', 'academic_performance', 'study_load', 'teacher_student_relationship','future_career_concerns', 'social_support', 'peer_pressure', 'extracurricular_activities', 'bullying', 'stress_level'] |