Browsing UTA Datathon 2023 Innovative Data Intelligence Research Lab Machine Learning Text Classification Challenge - DO NOT EDIT by Title

Now showing items 1-2 of 2

    • Machine Learning Text Dataset 

      Jadhav, Mayur (2023-05-05)
      Use predictive modelling to generate Models which were later used for predicting the new dataset. Achieved accuracy of 91.23%.

    • A Naive-Bayes Text Classifier using Laplace smoothing 

      Pudu, Prithvidhar (2023-05-03)
      The text classifier was built using kaggle.com, a website that provides GPU resources to train large amounts of data. Using this website, I created a Naive-Bayes Text Classifier in Python to classify articles on whether ...