What type of ML model to choose based on the data available and the problem to solve.
Ml Engineer Interview Questions
1,795 ml engineer interview questions shared by candidates
Explain how do you approch a churn prediction problem with imbalaced class
- Coding round is a standard (medium-hard) leetcode question - Be prepared to answer questions about "classical ML" (e.g. traditional NLP methods, cross-validation, classifiers, etc.)
model evaluation metrics, bias-variance tradeoff, overfitting, feature engineering, and real-world ML use cases.
3-5 python codes, project, Ml algorithms, Gen AI, Deep learning.
Q1: Tell me about yourself and why do you want to work for Sage?
What is homoscedasticity, describe assumptions of Linear regression
They asked about ml projects you have worked on? How apis are used in ml projects ?
Tell us about a project you worked using AI/ML.
Why are you interested in this opportunity, and why specifically in Sage
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