Wayland La

Wayland's Data & Machine Learning Projects

Hi, I'm Wayland, a Data Science Major at UC Berkeley who is interested in the intersection of Education with Data Science and AI/ML. Here is a collection of my work across AI, analytics, and interactive data storytelling.

AI/ML Data Engineering NLP Visualization Education
AI Scheduler
AI Scheduler
Optimize personal calendars with AI. Parse ICS, visualize events, and insert smart recommendations.
JSFullCalendarLangChain (API)
CNN RAG Chatbot
CNN Chatbot (RAG)
Retriever-Augmented Generation over news articles with contextual Q&A and summarization.
PythonNLPRAG
Absenteeism Model
Student Absenteeism Prediction
Predict chronic absenteeism using tabular features and interpretable ML baselines.
SklearnXGBoostEDA
NBA MVP Prediction
NBA MVP Prediction
Model the MVP race with RandomForest and regularized baselines from live season data.
RandomForestRidgeSports Analytics
Parkinson's Classifier
Parkinson's Disease Classifier
Neural network classifier with feature exploration and XGBoost comparison.
TensorFlow/KerasSklearnXGBoost
Salary Prediction
Annual Salary Prediction
Model compensation using Glassdoor data, NLP features, and model selection.
NLPRegressionGridSearchCV
Noise Pollution Analysis
Noise Pollution in the US
Hypothesis testing and mapping of excess noise factors across US cities.
VisualizationHypothesis TestingSklearn