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LINEAR ALGEBRA (MATH 402)
WQD7004_Group11_Early Detection of Diabetes and Prognosis of Glycemic Control using Machine Learning Modeling
This project focuses on building robust predictive models which will help understand the key variables that influence glycemic control and diabetes risk, paving the way for more effective early intervention strategies and better management of diabetes.
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Ujian Akhir Semester Analysis and Predictive Modelling
Kelompok 8:
- Isnaini Nur Hasanah (52240005)
- Joans Henky Servatius Simanullang (52240017)
ITSB
Electricity_consumption_prediction
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...
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)
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.
