Projects in Awesome Lists by huacenxu
A curated list of projects in awesome lists by huacenxu .
https://github.com/huacenxu/covid-morality
This project builds a novel liberty dictionary to quantify liberty morality—a concept missing from the extended Moral Foundations Dictionary (eMFD)—and leverages it to study the relationship between audience engagement and COVID-related news.
academic-project ai coronavirus covid-19 embedding-models nlp nlp-machine-learning
Last synced: 12 Mar 2025
https://github.com/huacenxu/disaster-response-pipeline
This project builds machine learning models to classify disaster messages and categorizes them accurately through a robust pipeline, ensuring effective classification.
ai bootcamp-project classification-model data-science data-wrangling etl etl-pipeline
Last synced: 12 Mar 2025
https://github.com/huacenxu/pri-insights-chatbot
This project leverages machine learning and large language models to compute similarity scores, generate actionable insights, and enable AI-powered question-answering for enhanced data interaction.
ai-chatbot bertopic llm machine-learning natural-language-processing python sentence-similarity streamlit transformers visualization
Last synced: 01 Mar 2025
https://github.com/huacenxu/recommendations-with-ibm
I analyze user interactions with articles on the IBM Watson Studio platform to recommend new articles they might like.
ai bootcamp-project nlp-machine-learning recommendation recommender-systems
Last synced: 12 Mar 2025
https://github.com/huacenxu/embedding-models-for-ai-retrieval
This project develops a domain-specific embedding model to enhance document retrieval in AI-powered search systems. It incorporates techniques like synthetic data generation, model fine-tuning, and vector search using FAISS, evaluated with MRR@5 for performance.
document-retrieval embedding-models faiss machine-learning mrr nlp reallifeproject semantic-search
Last synced: 12 Mar 2025
https://github.com/huacenxu/predicting-patients-no-shows
After cleaning and exploring the data, I train classification models including DecisionTree, RandomForest, SVM, and AdaBoost. Finally, I blend models to optimize predictions and identify the best model based on AUC and accuracy for predicting patient no-shows.
bootcamp-project classification-model machine-learning no-show-appointments-data-set predictive-modeling
Last synced: 12 Mar 2025
https://github.com/huacenxu/bond-risk-analyzer
This project uses decision tree logic to generate insights, identify proxy security IDs using nearest neighbor methods, and streamline risk analysis for financial datasets.
automation bond data-processing decision-tree finance nearest-neighbors python reallifeproject risk-modelling
Last synced: 12 Mar 2025
https://github.com/huacenxu/predict-loan-status
Using the Cross-Industry Standard Process of Data Mining (CRISP-DM), this project analyzes loan data from Prosper to identify key factors that predict loan status.
bootcamp-project data-science data-visualization data-w loan-prediction-analysis
Last synced: 12 Mar 2025