This analysis explores the predictors of depressive symptoms among older adults using machine learning techniques, including Random Forest and Neural Networks. The data is cleaned and transformed to prepare for these analyses.

In this project, we explore the patterns of parental involvement in their children’s education across diverse racial groups, leveraging data from the High School Longitudinal Study (HSLS) conducted by the National Center for Education Statistics (NCES).

Parental involvement in education is as unique and multifaceted as the families who navigate our school systems. Picture parents staying up late to review homework, juggling schedules to attend school events, or quietly nurturing their child’s confidence with heartfelt conversations about dreams and aspirations. These acts of engagement reflect more than just academic ambition—they are deeply rooted in cultural traditions, economic realities, and personal values.