Browsing by Subject "Random Forest Classifier"

Now showing items 1-4 of 4

    • A comparative study of car image generation quality using DCGAN and VSGAN 

      Shayer, Mirza Ahmad; Anjum, Nafisha; Mim, Sushana Islam; Chowdhury, Md. Abu Sajid; Preoshi, Noshin Nanjiba Islam (Brac University, 2022-05)
      In today’s modern society, image generation (synthesis) has a great number of uses in various tasks. Image generation is used in crime forensics, improving image quality and generating better images. In 2014, a scientific ...

    • Detecting online recruitment fraud by using machine learning 

      Ghosh, Gitanjali; Tabassum, Hridita; Atika, Afra; Kutubuddi, Zainab (Brac University, 2021-01)
      Online Recruitment fraud (ORF) is becoming an important issue in the cyber-crime region. Companies find it easier to hire people with the help of the internet rather than the old traditional way. But it has greatly ...

    • ML based career suggestive system for informal job sector considering cognitive skills 

      Tonny, Ms. Ayesha Siddika; Hafsa; Lavlu, Md. Tousif Hasan; Ghosh, Abhijit Kumar; Roy, Sourojit (Brac University, 2022-05)
      We are striving to build a realistic procedure by which we, particularly the future generation, will be able to choose the right career based on their capacity and interests. A few well-known international firms, including ...

    • Sentiment analysis on E-commerce based product reviews using machine learning algorithms 

      Arobi, Ritu; Rijon, Rakibul Hassan; Haque, Nimul; Safkat, T.I.M. Sakir; Safoan, Sk (Brac University, 2022-05)
      Opinions from others can be important when a choice is necessary, mainly when valuable resources such as time and wealth are involved. People often depend on their peers’ past experiences. The analysis of sentiments or ...