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WQD7004_Group2_DeliveryTimePrediction
Delivery Time Prediction with Machine Learning, group assignment for WQD7004 Programming for Data Science.
WQD7008 Group Project_Cardiovascular Risk Analysis: A Dual Approach to Heart Disease Prediction and Cholesterol Level Modeling
Occ 3
Group 8:
- HU YIPENG (24084257)
- ZHU YUNZE (25052638)
- AN LULU (24236510)
- CHENG RONG (25055732)
- LEI CHAOYU (23107477)
House_electricity_consumption
The owner of a house in central Czechia decided to install an electric heat pump (EHP) in 2025. The owner began worrying about electricity consumption almost immediately. I want to examine how well we can predict the electricity consumption of the EHP using data from only the first ~30 days...
PCR_sepsis
This is a pilot analysis of retrospective data from 2018 to 2025. This is for the preparation of my PhD proposal.
Next Word Prediction App – Shiny Demo
This Shiny app predicts the next word in a user-typed phrase using a small n-gram backoff model. It uses trigram, bigram, and unigram frequencies from a sample English text corpus. Users type a phrase into the input box, click “Predict Next Word,” and the app outputs the most likely next word in real time. The app demonstrates a simple predictive text algorithm with a clean and interactive interface.
