maokadtech/stress_level_analysis

1Deduction through data analyis2Title: STUDENT STRESS LEVEL ANALYSIS3Aims and Objectives: to analyze the collected data, to visualize the data, train a model that can predict student stress level using the given parameters4From 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.5The dataset has 11000 rows and 21 columns6The 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']