UTA Datathon - DO NOT EDIT

 

The UTA Datathon is a 24-hour event focused on data-related challenges. Teams and individuals work to submit solutions to these challenges within the 24-hour window. Judges with extensive knowledge and experience in Data Science and Analytics evaluate submissions and select winners based on the quality of submissions. The UTA Datathon is organized by the UTA Libraries and the ACM student organization of UTA. The first UTA Datathon was held in the UTA Central Library April 15-16, 2023. Sponsors included the MathWorks, the UTA Department of Computer Science and Engineering, the UTA Department of Math, and the Innovative Data Intelligence Research Lab at UTA. The collections below labelled 2023 are the challenges presented to Datathon participants!

All submissions in this community have been provided under a non-exclusive copyright agreement whereby the submitter retains their copyright.

Collections in this community

Recent Submissions

  • 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 ...

  • Minions Fitness Tracker 

    Rahman, Mohammad Hasibur (2023-05-01)
    I made a fitness tracker that counts the steps of user using their mobile device. I made this tracker using MATLAB sensor and added the sensor path with the mobile device, the tracker would count the number of steps taken ...

  • Data Visualization with Health-related Tweets 

    Nguyen, Matthew Do (2023-05-01)
    This project functions similar to Google Trends where you can search a word and the program will create a time graph that will tell you the relevance of your chosen word throughout the years. It does this by sorting multiple ...

  • Twitter Database Health Visualization 

    Qureshi, Tor; Trinh, Vincent; Nguyen, Matthew (2023-04-04)
    By utilizing the Twitter IDs and their corresponding posts in the database, we were able to create a UI that generates a graph that demonstrates a word or phrases' usage over time based on the number of times mentioned ...

  • MathWorks Fitness Tracker 

    Le, Tuan Quoc (2023-04-28)
    Mobile fitness app that utilizes the sensors in mobile phone in order to determine the position, velocity, number of calories burned, and other potentially useful fitness information.