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Unsupervised machine learning for early faulty device detection
(Makerere University, 2022-11)
Early faulty detection in air quality sensors is of increasing importance in ensuring reliable and
accurate air quality readings. These sensors play a critical role in monitoring the pollution levels
in the atmosphere ...
Clssification model for demand of medical insurance using machine learning models
(Makerere University, 2024-07)
This study aims to classify the demand for medical insurance in Uganda using machine learning models, specifically Naive Bayes and Random Forest. Data was collected from a brokerage firm in Kampala, focusing on demographic ...
Supervised learning for weather prediction model using global meteorological data
(Makerere University, 2025)
Accurate weather prediction plays a crucial role in the stability and safety of diverse sectors
such as agriculture, transportation, energy management, and disaster response. NWP
models, which use complex physical ...
Using a statistical prediction model to combat climate change : the impacts taking a data driven approach
(Makerere University, 2025)
Climate change is one of the most pressing challenges facing humanity, characterized by long-term shifts in temperatures and weather patterns. For developing economies like Uganda, which are highly reliant on climate-sensitive ...
Credit card fraud detection using machine learning with deployment
(Makerere University, 2025)
The proliferation of digital payment systems has led to a significant increase in credit card fraud,
which poses major challenges to both financial institutions and consumers. Traditional rule-based
fraud detection ...