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.
Outcome
1. A working demo.
2. A paper submission.
| Apply By Date |
06 Nov 2023 |
| Students |
4 / 4 |
| Duration |
3-6 months |
| Mentor |
Balaji Ganesan |
Tools-Technologies | Jupyter Python Notebooks, |
College | | 1. PES University, Bangalore | | 2. PESIT |
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