Data Science Across Applications
This team applies data science, machine learning, and deep learning techniques to solve real-world problems across a variety of application areas.
Faculty Advisor:
Description:
This team explores how data science, machine learning, and deep learning can be applied to real-world problems across different domains. Students work with various types of data—including numerical, textual, image, time-series, and multimodal data—to identify patterns, make predictions and develop data-driven solutions. Potential projects may involve healthcare analytics, social media analysis, disaster response, financial trend prediction, recommendation systems, image classification and other applications based on students’ interests and available datasets.
Relevant Technologies:
- Data science and data analytics
- Machine learning
- Deep learning
- Image processing
- Time-series analysis
- Data visualization
Prerequisites:
- Experience with Python programming
- Basic knowledge of data analysis or machine learning
- Willingness to learn new data science and AI techniques