This project aims to study the influence factors of international students' mobility with the case of international students from B&R countries studying in China.
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Updated
Mar 1, 2024 - HTML
This project aims to study the influence factors of international students' mobility with the case of international students from B&R countries studying in China.
This project aims to develop a robust classification model using test-takers' demographics and questionnaire responses from the ASD screening dataset to accurately identify individuals with Autistic Spectrum Disorder (ASD) through optimization of performance metrics.
Exploratory data analysis and predictive modeling using Tinder matching data. Model predicts whether you would find a relationship or not. The EDA was showcased with a web application, in collaboration with software engineer students. This project was part of Practicum Code Pudding 2.0 competition.
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