Hi everyone,
I’m fairly new to the world of machine learning and data science, and I’ve been spending the last few months working through projects, tutorials, and some Kaggle competitions. It’s been a fun challenge, but now I’m trying to take the next step and prepare for job interviews.
One thing I’ve noticed is that a lot of companies are asking very specific machine learning interview questions that go beyond just theory..they want practical examples, coding skills, and a good understanding of real-world data problems.
I’m wondering if anyone here has experience going through ML interviews and could share what helped them prepare. Are there any good resources, mock interview platforms, or personal tips you’d recommend?
Also curious if others in this community are going through the same journey. Would love to connect and maybe even do some mock sessions or project reviews together.
Thanks in advance for any help!
HJ Bishop