Browsing by Subject "Linear regressor"

Now showing items 1-4 of 4

    • Black swan events and machine learning 

      Tabassum, Lamia; Das, Prasenjit; Ahmed, Tasneem Bin (Brac University, 2021-01)
      Black Swan events refer to hard-to-predict and rare events that have a low probability of occurrence but have widespread impacts whenever they occur, be it positive or negative. These events can either be in the form of ...

    • Predictive analysis of non fungible token price using deep learning 

      Rifat, Mohammad Redwan Arefin; Rupok, Tasfim Ahmed (Brac University, 2023-09)
      A form of digital asset called Non-fungible tokens can represent a wide range of objects, such as pieces of art, collectibles, and in-game items. Non-fungible tokens are also commonly referred to by their acronym, NFTs. ...

    • Sales forecasting using machine learning 

      Nabil, Sadman Sakib; Islam, Md Tanvir; Muhit, Sadman Aziz (BRAC University, 2024-10)
      In today’s aggressive and fast-paced economy, the ability to forecast sales accurately and effectively denotes a proper utilization of the available resources in planning. Typical sales forecasting methods fail quite ...

    • Unleashing potential: a data-driven exploration of identifying player potentialities through advanced analytics in sports 

      Bhowmik, Prashanta; Islam, Md. Khaliful; Khan, Nabil Shartaj; Acharjee, Ananna (Brac University, 2024-01)
      In this project, we delve deeper into the complex area of predicting a potential replacement of a footballer of a specific position. For that, we used multiple machine learning models on the Sofifa dataset. Our analysis ...