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A machine learning approach to predict young voter enthusiasm based on non-political factors
(Brac University, 2020-04)
The right to vote is considered to be the backbone of democracy. As we are entering
the third decade of 21st century more and more countries around the world are
adopting the democratic government system. One of most ...
SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
(Brac University, 2021-01)
Importance of cyber-security in protecting our valuable data and information is huge in this era of technology. Since numerous amounts of
cyber-attacks take place every day, the development of a more secured
system so ...
Stock market prediction using ensemble learning
(Brac University, 2020-04)
An unpredictable sector of finance market which involves three major roles: investors, buyers and sellers is called a stock market. Also stock prices may not only change the future economy of a country but also have direct ...
Heart disease prediction using techniques of classification in machine learning
(Brac University, 2021-06)
In this thesis we have examined the accuracy of various classifiers to predict heart
disease and heart vessel blockage. We have also analyzed the key features contribut ing to heart vessel blockage. We have used a dataset ...
A feature selection approach to determine obesity using machine learning method
(Brac University, 2021-06)
The new health concern that is proliferating in developing and impoverished countries is obesity. It is recognized as a complex health issue caused by various factors
such as genetics, behaviour, and other issues. Obesity ...