Browsing by Subject "Decision Tree"
Now showing items 1-6 of 6
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Cardiovascular disease prediction model using Machine Learning Algorithm
(Brac University, 2022-09)This research uses machine learning to anticipate and detect the symptoms of specific diseases after examining some of the important elements of these diseases in order to better understand them and develop new and better ... -
Effectiveness of data mining in predicting heart diseases
(BRAC University, 8/21/2017)Heart Diseases affect a large population in today’s world, where the lifestyle is moved from active to comfort-oriented. We live in era of fast foods. Which build up cholesterol, diabetes and many more factors which in ... -
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 machine learning approach to analyze and predict rainfall in different regions of Bangladesh
(Brac University, 2021-08)Rainfall has always been important in context of Bangladesh as almost 43% of the population depends on agriculture for their livelihood. Global warming has been taking a toll on environment and rainfall patterns have ... -
Social media trend analysis to predict the success of products using deep learning technique
(Brac University, 2022-09-29)In recent times, social media usage has reached such heights that it has become a powerhouse in producing trends, bringing such topics that would have remained outside of popular consciousness. Our goal is to analyze how ... -
Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
(BRAC University, 2018)A restaurant business is a very prospective and profitable business nowadays. However, ensuring quality food, good stuff, inner-environment etc. is a big concern and most importantly before facing all these, the trickiest ...
