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    Early detection of breast cancer using machine learning 

    Fuad, Wasi Mohammad (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, ...
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    Modelling and forecasting energy demand of Bangladesh using AI based algorithms 

    Mahmud, Booshra Nazifa; Ferdoush, Zannatul; Mim, Lamia Tasnim (Brac University, 2019-04)
    Bangladesh being one of the ve fastest growing economies in the world with its enormous 164.7 million population is facing a huge challenge of adapting to the surging demand of electricity rising throughout the country ...
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    Forecasting stock market prices using advanced tools of machine learning 

    Anwar, Md. Tawhid; Rahman, Saidur (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 ...
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    A counseling system to predict the study path for freshmen 

    Usha, Rowshni Tasneem; Parvez, Shiny Raisa; Sejuti, Fariha Sazid; Hossain, Maisha (BRAC University, 2019-04)
    Now a days, dilemma related to one's career has been considered as a serious issue, specially among fresh graduates. Starting at the age of 18, the students usually fail to grasp the idea of which career path to pursue ...
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    Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning 

    Hussain, Nadib; Islam, Tanvir; Apu, Rafik Un Nabi (BRAC University, 2018-07)
    Adverse Drug Reaction (ADR) is one of the many uncertainties which are considered as a fatal threat in the field of pharmacy and medical diagnosis. Utmost care is taken to test a new drug thoroughly before it is introduced ...
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    A supervised machine learning approach to predict vulnerability to drug addiction 

    Faisal, Fahim; Shahriar, Arif; Mahmud, Sohan Uddin; Shuvo, Rakibul Alam (Brac University, 2019-08)
    There are signi cant amount of di erences between an addicted and non-addicted person on their social and familial behavior. In our thesis we tried to nd out the characteristics of a person related to his social and ...

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    AuthorAnwar, Md. Tawhid (1)Apu, Rafik Un Nabi (1)Faisal, Fahim (1)Ferdoush, Zannatul (1)Fuad, Wasi Mohammad (1)Hossain, Maisha (1)Hussain, Nadib (1)Islam, Tanvir (1)Mahmud, Booshra Nazifa (1)Mahmud, Sohan Uddin (1)... View MoreSubject
    Machine learning (6)
    Random forest (6)
    Prediction (3)Decision tree (2)Logistic regression (2)Machine learning. (2)Neural network (2)Adverse Drug Reaction (1)AHP (1)Artificial neural network (1)... View MoreDate Issued2019 (4)2018 (2)Has File(s)Yes (6)

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