Project - | Data exploration and ranking by interestingness |
Objective | 1. Create a solution for measuring the interesting-ness of any dataset (typically a table).
2. Come up with a solution to rank different datasets by this interesting-ness measure.
3. Visualize and explain to an end user what is interesting about the dataset. |
Outcomes | 1. A working demo.
2. A paper submission. |
Apply by Date | 06/11/2023 |
Applied Teams | 4 / 4 |
Duration | 3-6 months |
College | | 1. PES University, Bangalore | 2. PESIT |
|
Tools-Technologies | Jupyter Python Notebooks, Python |
Mentor | Balaji Ganesan |