For my Machine Learning course, I am using Python to train, test, and validate a supervised machine learning model. My goal is to help predict student success rate. I hope my work is useful to institutions hoping to improve the identification of at risk students and assist them earlier.
The attributes present in my dataset include demographic, macro-economic, and academic information for each student. Each student is classified into 3 categories: dropout, enrolled, and graduate.
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Developed a scalable farm-to-store grocery delivery system with MySQL and a web application to store 10000+ entries. Functionality includes efficient and user-friendly order management and contact information updating. The delivery system (MySQL, PHP), stores information such as farm and store locations, order info and requesting.
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The mission of the website is to demonstrate my passion for computer science and showcase my work as a software developer. I hope to leave you impressed with my work and interested in connecting with me through LinkedIn, email, or Github.
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