Projects

Major Project

Task

  • This major project focuses on baking all the software engineering best practices, MLOps lifecycle and holistic ML into one code base. All the objectives of the Minor Project should be there. In addition,
    • at dataset (aggregate) level, models are
      • explainable
      • calibrated
      • assessed for robustness
    • at inference time, for every instance, the following are available
      • conformal predictions
      • explanations
      • trust scores

Note:

  • You can choose any problem or build on the Tabular Data provided in the class. Above must be available on major-project branch of your course private repo.
  • Submit your proposal no later than October 20th, 2024, Friday, 13.00pm IST. In the repo, create a README.md file at the root.
  • In addition to the code, you have present the project on 26th-29th November, in-class.

Due:

Proposal Submission:
- 11.59PM IST, Friday, 20th Oct, 2024.

Presentations:
- 26th and 29th, Nov, 2024, in-class.

Final Submission:
- 11.59PM IST, Friday, 29th Nov, 2024.

Minor Project

Task

  • This minor (mini) project focuses on baking all the software engineering best practices and MLOps lifecycle into one code base
  • Create a branch named minor-project of your private repo.
  • For the dataset including all Tranche shared on your google drive, show that, your Models, Data, and Pipelines are
    • Project Cards, Data Cards, Model Cards, MLOps Cards are populated and are data driven.
    • Code is modular, linted, and tested
    • CI/CD hooks are implemented
    • Model is deployed and available via an API.
    • Inference can be scaled
    • Model is monitored, and a new model is deployed when an opportunity or a need to redeploy is detected.
    • Right to be forgotten is enabled.
  • One way to think about it is, it is is culmination of HWs up until now.

Due by
11.59PM IST, Friday, 25th Oct, 2024.