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IOD - Project 2: Food Access For Seniors
Project type
EDA, Machine Learning
& Predictive Modeling
Date
June 2024
This was the second of four projects completed during my coursework at Institute of Data. The purpose of the project was to demonstrate my understanding and application of EDA, machine learning and predictive modeling.
I chose a real-world dataset to help a fictional Social Security Administration allocate their funds in areas that would have the biggest impact for seniors experiencing food access issues. Further, I worked to create a machine learning model that would help SSA provide a tool to help local governments allocate funds in their areas, too.












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