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']