Company Focus
Capital One Interview Problems (21)
Problems reported from Capital One data science interviews
| Status | Title | Difficulty | |||
|---|---|---|---|---|---|
| Calculate Mean and Median Free | Easy | ||||
| Correlation vs Causation Pro | Easy | ||||
| Standard Error vs Standard Deviation Free | Easy | ||||
| ANOVA Assumptions Pro | Medium | ||||
| Binning Numeric Values Pro | Medium | ||||
| Unlock all 21+ problems | |||||
| Gradient Boosting Overfitting Pro | Medium | ||||
| Interpreting a Residual Plot Pro | Medium | ||||
| Linear Regression Assumptions Violated Pro | Medium | ||||
| Mode Finder Pro | Medium | ||||
| Multicollinearity and VIF Pro | Medium | ||||
| Unlock all 21+ problems | |||||
| Random Forest vs Single Decision Tree Pro | Medium | ||||
| Regression Homoscedasticity Pro | Medium | ||||
| Scalar Subquery for Comparison Pro | Medium | ||||
| Subquery with IN for Filtering Pro | Medium | ||||
| AUC-ROC Interpretation Pro | Hard | ||||
| Unlock all 21+ problems | |||||
| Correlated Subquery for Latest Order Pro | Hard | ||||
| EXISTS Subquery for Conditional Filtering Pro | Hard | ||||
| Handling Class Imbalance with SMOTE Pro | Hard | ||||
| Nested Subquery for Percentile Filtering Pro | Hard | ||||
| Regression Independence Assumption and Autocorrelation Pro | Hard | ||||
| Unlock all 21+ problems | |||||
| Target Encoding Pro | Hard | ||||