ML2 Take-Home-Projects

💡 What to do

1. Pick one project that can demonstrate your interest
   • EDA + Regression
   • Imbalanced Signal Data
   • MNIST in Numpy
   • Improving Noisy MNIST classification
   • Numpy Optimizer
   • Object Detection in Habitat-Sim Simulator
2. Solve the Mathematics problem (It is optional)

💡 What to submit

• A link to a GitHub (or a similar Git hosting service) repository containing a README.md that has
  • a concise but extensive review of the project,
  • a description of the content of the repo,
  • a documentation of how to run the code,
  • showcase examples,
  • and any other materials you want to describe regarding the repo.

---

👨🏻‍💻 Hiring process