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Machine Learning for Social Science Symposium Spring 2024

Published onMar 07, 2024
Machine Learning for Social Science Symposium Spring 2024
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Final Symposium Program

Program Design on Canva [URL]

Fueling Development: Examining Economic Drivers of Energy Access and Efficiency

by Aida Camacho Ponce de Leo

GitHub: https://github.com/Rising-Stars-by-Sunshine/STATS201_Aida_Final_Project

Predicting Obesity Risk Using Machine Learning

by Zhe Niu

GitHub: https://github.com/Rising-Stars-by-Sunshine/STATS201_ZheNiu_FinalProject/

Predicting Student Dropout and Academic Success Using Machine Learning

by Yi’an Pei

GitHub: https://github.com/Rising-Stars-by-Sunshine/YP_STATS201_Final/tree/main

Predictive Modeling of Lung Cancer Risk: Integrating Machine Learning with Environmental and Lifestyle Factors

by Jiahe Qian

GitHub: https://github.com/Rising-Stars-by-Sunshine/STATS201_Jiahe_Final

Analyzing Diabetes Probability Using Four Different Machine Learning Algorithms

by Jiaolun Zhou

GitHub: https://github.com/Rising-Stars-by-Sunshine/JIaolun_Zhou_Stats201_Final_Draft/tree/main

What is the effect of Two-child Policy on the maternal and child market in China?

by Xiaotong Zha

GitHub: https://github.com/Rising-Stars-by-Sunshine/Zhaxt_Stats201_TwoChildPolicy/tree/main

World Sugar Price Prediction and Analysis Research Project

by Yifei Luo

GitHub: https://github.com/Rising-Stars-by-Sunshine/Lareina/tree/main

Weather Anomaly and Public Discourse

by Yuanjun Lin

GitHub: https://github.com/Rising-Stars-by-Sunshine/Stats201_Yuanjun_Lin

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