Browsing by Subject "Logistic Regression"

Now showing items 1-8 of 8

    • Amazon product reviews sentiment analysis using supervised learning algorithms 

      Hawladar, Mohibullah; Ghosh, Arjan; Raad, Zaoyad Khan; Chowdhury, Wali Ahad; Shehan, Md Sazzad Hossain (Brac University, 2021)
      E-commerce is gaining traction in today’s digitalized environment by taking products closer to customers without forcing them to leave their homes. A customer must study hundreds of reviews before making a purchase. The ...

    • Cardiovascular disease prediction model using Machine Learning Algorithm 

      Arefin Mirdha, MD Shamsul (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 ...

    • A feature selection approach to determine obesity using machine learning method 

      Antor, Shahidul Alam; Ahmed, Jawad; Nayen, Zulker; Tabassum, Farisha; Mahbub, Rasheda (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 ...

    • Heart disease prediction using techniques of classification in machine learning 

      Afrose, Sadia; Rubaiat, Farah; Tabassum, Homayra (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 ...

    • Identification and comparison of factors behind mental turbulence of public and private university students 

      Tahsin, Md. Akil; Hannan, Sumaiya; Shifa, Fabiha Rumman (Brac University, 2021-06)
      Among the young generation of Bangladesh, especially university students, mental health is a challenging but ignored topic. The primary goal of this paper is to analyze mental states found in university students all while ...

    • Identification of fake news using machine learning in distributed system 

      Saif, Mehruz; Kanon, MD. Kamal Haque; Hasan, Nazmul; Hossen, MD. Shamim; Anannya, Fatema Zohra (Brac University, 2021-06)
      The World Wide Web’s launch and the rapid adoption of social media platforms (such as Facebook and Twitter) paved the way for unparalleled levels of information diffusion in human history. Consumers are creating and ...

    • SCAMM: detection and prevention of SQL injection attacks using a machine learning approach 

      Alam, Auninda; Tahreen, Marjan; Alam, Md Moin; Mohammad, Shahnewaz Ali; Rana, Shohag (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 

      Rabbani, Rakin Bin; Amin, B. M. Fahad-ul; Khan, Sumaiya Tanjil; Mahbub, Farjiya Benta (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 ...