I interviewed 100+ folks in the last few months helping with interview prep. Many were stuck on answering a basic ML concept question. Most have an intuition and understand the basic concept, probably have watched a detailed video on it in a data science course. But when it comes to articulating the concept concisely in a few minutes, interviewees sometimes flounder.
Based on popular demand, I made a video to explain how one can answer a common ML interview question such as “Explain Linear Regression?” at various levels of depth depending on the interest level of the interviewer
Hope you all like the video ! Feel free to respond with any feedback on this video.