BillyTevin11/Predicting-Graduation-Rates

My Capstone Project as part of Advanced Training in Python for Machine Learning with Everything Data Africa as part of my Data Science Training. # Predictive Modelling Everything Data Africa's Graduation Rate ## Project Overview This project provides a comprehensive analysis of participant data from the Everything Data mentorship program cohort. The analysis aims to understand participant demographics, identify factors influencing graduation rates, and provide actionable recommendations for improving future mentorship cohorts. Track: Data Science Dataset: 115 participants from mentorship cohort Objective: Graduation Rate Predictive Modeling and Program Optimization Dataset Description Data Source • File Name: data.csv • Records: 115 participants • Time Period: November 2024 - December 2024 • Geographic Focus: Primarily Kenya-based participants ## Column Structure (15 Features) 1. Timestamp - Application Submission Date and Time 2. ID No. - Unique Participant Identifier 3. Age range - Categorical Age Groups (18-24, 25-34, 35-44, 45-54 years) 4. Gender - Male/Female 5. Country - Participant location 6. Where did you hear about Everything Data? - Recruitment Source 7. Years of learning experience - Prior data field experience level 8. Track applied for - Data Science or Data Analysis 9. Hours per Week Available - Weekly time commitment 10. Main aim for joining - Primary motivation category 11. Motivation - Detailed motivation description 12. Self-assessed skill level - Beginner/Elementary/Intermediate/Advanced 13. Aptitude test completion - Yes/No 14. Total score - Aptitude test score (0-100) 15. Graduated - Target variable (Yes/No) ## Technical Requirements Dependencies python pandas>=1.3.0 numPy>=1.21.0 matplotlib>=3.4.0 seaborn>=0.11.0 scikit-learn>=1.0.0 Installation pip install pandas numPy matplotlib seaborn scikit-learn ## Workflow Methodology ### Phase 1: Data Loading and Initial Exploration Objective: Understand dataset structure and quality Steps: 1. Data Import o Load CSV file using pandas o Verify dataset dimensions and structure o Display first few records for initial inspection …