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Best feature selection and data visualization for breast cancer prediction
(Brac University, 2019-09)
Breast cancer (BC) is one of the most common cancers among women worldwide,
representing the majority of new cancer cases and cancer-related deaths according
to global statistics, making it a signifcant public health ...
Early detection of breast cancer using machine learning
(Brac University, 2018-12)
Breast cancer is the most common cancer among women but in can occur in both the genders.
It is accountable for an appalling number of deaths worldwide. In a particularly low-resource
developing country like Bangladesh, ...
A voice signal based gender prediction model using random forest classifier
(BRAC University, 2018-04)
In the proposed model, Classification and Regression Tree (CART) was used as a classifier to classify
gender using four different algorithms which were tested with changing dataset frames, layer sizes and
samples to get ...
A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
(Brac University, 2019-09)
The application of Arti cial intelligence (AI) has become a valuable part of medical
research. These days diabetes is one of the top maladies on the planet. Nowadays
it has become a common disease and alarming as people ...
Forecasting stock market prices using advanced tools of machine learning
(BRAC University, 2019-04)
Stock market, a very unpredictable sector of nance, involves a large number of
investors,buyers and sellers. Stock market prediction is the act of attempting to
see the long run price of an organization stock or di erent ...