mohitzsh/ML-Interview

Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.

38
/ 100
Emerging

This is a curated collection of learning resources for individuals preparing for technical interviews in machine learning engineering, applied science, or quantitative research roles. It provides links to courses, papers, and videos on classical machine learning, deep learning, statistics, and system design. Aspiring ML professionals can use this to brush up on core concepts and prepare for interview questions.

323 stars. No commits in the last 6 months.

Use this if you are studying for job interviews in Machine Learning Engineering, Applied Scientist, or Quant Researcher roles and need a comprehensive set of study materials.

Not ideal if you are looking for an interactive course, a step-by-step coding tutorial, or a resource for general software development interviews.

ML-Engineering-Interview Applied-Scientist-Interview Quant-Researcher-Interview Technical-Interview-Prep Machine-Learning-Review
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 20 / 25

How are scores calculated?

Stars

323

Forks

54

Language

License

Last pushed

Feb 04, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mohitzsh/ML-Interview"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.