Higher Education Students' Performance Evaluation_KeyiWang

Group member: Keyi Wang

Inspiration: intergenerational factors and social mobility

What it does: analyzes an education dataset and investigate the correlation between factors of interest

How we built it: using different machine learning models and checking result validity

Challenges we ran into: how to determine the parameters for the gradient boosting model

Accomplishments that we're proud of: well-organized functions, no redundancy, and use machine learning models in depth

What we learned: apply different machine learning models in depth

What's next for Higher Education Students' Performance Evaluation_KeyiWang: Use a larger dataset to find a correlation, if any, among the factors of interest

Built With

• python