Question Bank
Machine Learning interview questions Naming a model or a metric is only the start of an interview answer. Explain why it fits the task, and connect training, regularization, validation and evaluation to a concrete example. Start with your own explanation, then state its assumptions and limitations.
Medium Machine Learning
Can ML model results be shown to customers?
model-explainability customer-communication regulatory-compliance
Practice in bot Medium Machine Learning
How can external factors affect ML model?
external-factors model-robustness environmental-drift
Practice in bot Medium Machine Learning Альянс Кредит
What are alternatives to removing correlated features from the sample?
feature-selection correlation dimensionality-reduction
Practice in bot Medium Machine Learning Альянс Кредит
Can logistic regression overfit?
logistic-regression overfitting regularization
Practice in bot Medium Machine Learning Альянс Кредит
Why can CatBoost be more resistant to overfitting than logistic regression?
catboost overfitting-resistance model-comparison
Practice in bot Medium Machine Learning Альянс Кредит
What to do if model overfits?
overfitting-solutions regularization model-complexity
Practice in bot Medium Machine Learning Альянс Кредит
When should CatBoost be changed to logistic regression?
model-selection catboost-vs-logistic interpretability
Practice in bot Medium Machine Learning Локо-Банк
How did you use PD models? What algorithms did you apply?
pd-models credit-risk default-prediction
Practice in bot Medium Machine Learning Локо-Банк
What to do if model PSI exceeds 20-25%?
psi population-stability model-drift
Practice in bot Medium Machine Learning Локо-Банк
One model has Gini 48%, another 50%. Which to choose?
model-selection gini-comparison model-stability
Practice in bot Medium Machine Learning Локо-Банк
What is the role of model in credit application review process?
credit-process risk-assessment decision-support
Practice in bot Hard Machine Learning ОТП
How do you organize the feature selection process to reduce the number of features from 300 to 40? Describe the steps and methods you use.
feature-selection dimensionality-reduction systematic-approach
Practice in bot Medium Machine Learning ОТП
What hyperparameter optimization algorithms did you use?
hyperparameter-optimization bayesian-optimization automl
Practice in bot Medium Machine Learning BI Zone
What does the ML specialist's work process include in your team?
ml-workflow team-process data-engineering
Practice in bot Medium Machine Learning BI Zone
What are the criteria for choosing between logistic regression and XGBoost?
model_selection xgboost logistic_regression
Practice in bot Hard Machine Learning BI Zone
What statistical criterion underlies A/B testing of models?
ab_testing statistics model_evaluation
Practice in bot Medium Machine Learning
How is the financial impact of customer churn prediction models calculated?
churn_prediction business_metrics roi
Practice in bot Medium Machine Learning
How is the target variable defined for PD (Probability of Default) models?
credit_scoring target_definition default
Practice in bot Medium Machine Learning
What models were used for credit scoring?
credit_scoring model_types gradient_boosting
Practice in bot Medium Machine Learning
What methods for improving model quality were applied? Was stacking used?
ensemble_methods stacking model_improvement
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