Machine Learning Interview Questions for Campus AI Roles

ML campus roles expect statistics intuition plus Python implementation — not just Coursera certificates.

Core topics

• Train/validation/test splits and cross-validation
• Bias-variance trade-off
• Precision, recall, F1, ROC-AUC
• Overfitting regularization (L1/L2)
• Feature scaling and encoding
• Basic neural network concepts

Project expectations

End-to-end notebook: problem statement, EDA, model comparison, error analysis, deployment sketch.

Link to Python interview guide and AI/ML roadmap.