For my Decision Tree Project, I analyzed a dataset related to student academic performance to better understand the factors that influence student success. This project was completed as part of my Management Information Systems and Technology coursework at Temple University. Using Python, I built a decision tree model to predict student outcomes based on variables such as study habits, attendance, grades, and other academic indicators.
My role in the project involved cleaning and preparing the dataset, performing exploratory data analysis, building and testing the decision tree model, and interpreting the results. Through this experience, I strengthened my technical skills in data analysis, Python programming, and machine learning while also improving my problem-solving and critical-thinking abilities. I learned how predictive analytics can be used to identify patterns in educational data and support data-driven decision-making. This project further increased my interest in technology, cybersecurity, and data-driven solutions within the field of information systems.
