Welcome to the Data Science and Data Mining collection! This collection showcases the projects and assignments of students enrolled in the Data Science and Data Mining courses at the University of Central Florida. The collection covers topics such as data preprocessing, data visualization, statistical data analysis, data mining algorithms, machine learning, big data analytics and more. The students apply their skills and knowledge to various real-world datasets from different domains such as health, education, psychology, sports, social media and more. The collection aims to highlight the diversity and creativity of data science and data mining applications.For more information, please contact Dr. Rui Xie.
Submissions from 2024
Advancing Cancer Classifcation through Machine Learning Analysis of RNA-Seq Gene Expression Data, Emil Agbemade, Amina Issoufou Anaroua, and Dimitri Bamba
Combating Cyberbullying on Social Media: A Machine Learning Approach with Text Analysis on Twitter, Amir Alipour Yengejeh
XGBoost Hyperberd Model Using Steam Platform, Yuh-Haur Chen
Machine Learning Approaches for Cyberbullying Detection, Roland Fiagbe
Predicting Superconducting Critical Temperature Using Regression Analysis, Roland Fiagbe
Submissions from 2023
Predicting Heart Disease using Tree-based Model, Emil Agbemade
Silent Agony: Automated Detection of Ethnic and Religious Cyberbullying Using Machine Learning, Emil Agbemade
Variable Selection and Regression Analysis, Emil Agbemade
Analyzing the Impact of Health, Economic, and Demographic Factors on Life Expectancy: A Comparative Study of Developed and Developing Countries, Mahyar Alinejad
A Linear Regression Model to Predict the Critical Temperature of a Superconductor, Amir Alipour Yengejeh
Analysis of Credit Approval by Decision Tree, Amir Alipour Yengejeh
A Recommender System for Movie Ratings with Matrix Factorization Algorithm, Amir Alipour Yengejeh
Genome-Wide Association Study of The Maize Crop by The Lasso Regression Analysis, Amir Alipour Yengejeh
Machine Learning-based Approaches for Predicting the Critical Temperature of Superconductor, Pradip Dhakal
Variable Selection Using Lasso and Elastic Net Regression on High Dimensional Genetic Architecture Data of Maize Flowering Time, Pradip Dhakal
Classification of Adult Income Using Decision Tree, Roland Fiagbe
Linear Regression with Regularization on the Genetic Architecture of Maize Flowering Time, Roland Fiagbe
Movie Recommender System Using Matrix Factorization, Roland Fiagbe