Yicheng Wang
wyccc17@gmail.com
INST – Final Project Proposal
Prof. Dempwolf
Nov. 10th, 2022
Final Project Proposal – Election
Should roughly follow the outline in the previous slides, but may be modified
Should emphasize defining the problem and desired outcomes (questions 1 – 3; 8, 10)
Contemplate performance metrics more from the business perspective rather than the ML perspective
Identify assumptions
Then consider ML framing, metrics, etc.
For this project, I want to
1. Define the objective in business terms. (try to avoid speaking casually)
understanding the titanic data, gain a better understanding/closely analysis of the data;
2. How will your solution be used?
3. What are the current solutions/workarounds (if any)?
4. How should you frame this problem (supervised/unsupervised, online/offline, etc.)?
5. How should performance be measured?
6. Is the performance measure aligned with the business objective?
7. What would be the minimum performance needed to reach the business objective?
8. What are comparable problems? Can you reuse experience or tools?
9. Is human expertise available?
10. How would you solve the problem manually?
11. List the assumptions you (or others) have made so far.
12. Verify assumptions if possible. – is it true, can you find the evidence that it is true.
somebody think the problem isn’t solvable, if the problem worse solving it.
https://www.kaggle.com/code/aloisiovaleriojr/predicting-fates-with-titanic-data
thesis of the project – finding solutions on how we prevent sinking of boats like titanic did; learn from the mistakes to advance future society
Format and type
Type of file, the digital object format
The nature or genre of the resource
Subject and coverage
Topic of the resource, biologically or geographically
Specifically a topic that happen to be geographic; spatial topic
Creator and contributer
Main entity responds for making the thing
Entity that makes contribute to it, but isn’t primarily responsible for it
