machine-learning-interview

Why we included this project

For anyone preparing for a machine learning engineer interview in Chinese, this repo is a well-organized question bank rather than a piece of software. It groups questions by topic, starting with fundamentals like loss functions and generalization, then moving through feature engineering and classic algorithms such as KNN and linear models. Each question is short and phrased the way an interviewer would actually ask it, and checkboxes show which ones already have written answers and which are still pending, so you know where you stand. Interview prep means repeating the same material until it sticks, and having one checklist to drill through beats scattered notes. Treat it as a study companion to refresh fundamentals before the big day, not as a library to integrate into an application.