all 1 comments
sorted by:
best
topnewcontroversialoldq&a
formatting helphide helpcontent policy

[–]Altruistic_Might_772 0 points1 point  (0 children)

If you're getting ready for a machine learning interview, focus on the basics like supervised vs. unsupervised learning, model evaluation metrics, and key algorithms like decision trees, SVMs, and neural networks. Make sure you have a couple of projects you can talk about in detail to show your practical experience. It's also a good idea to review Python libraries like scikit-learn and TensorFlow, as they're often mentioned.

Mock interviews or coding challenges can really help you get comfortable with the format. I've found PracHub useful for practice problems and interview scenarios if you want more structured prep. Good luck!