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Top 33 Scikit-Learn Interview Questions
Entry Junior Mid Senior Expert
Scikit-Learn Theoretical Questions
Q1:
What is Data Leakage and how do you avoid it in Scikit-Learn?
Entry
Q2:
What's the problem if you call the fit() method multiple times with different X and y data? How can you overcome this issue?
fit() method multiple times with different X and y data? How can you overcome this issue? Junior
Q3:
How to obtain reproducible results across multiple program executions in Scikit-Learn?
Junior
Q4:
What's the difference between GridSearchCV and RandomSearchCV? What is the advantage of each one?
GridSearchCV and RandomSearchCV? What is the advantage of each one? Junior
Junior
Q6:
What is the difference between Recursive Feature Elimination (RFE) function and SelectFromModel in Scikit-Learn?
(RFE) function and SelectFromModel in Scikit-Learn? Junior
Q7:
What's the difference between StandardScaler and Normalizer and when would you use each one?
StandardScaler and Normalizer and when would you use each one? Junior
Mid Q9:
How do you scale data that has many outliers in Scikit-Learn?
Mid Mid Q11:
While using KNeighborsClassifier, when would you set weights="distance"?
KNeighborsClassifier, when would you set weights="distance"? Mid Q12:
What's the difference between fit(), transform() and fit_transform()? Why do we need these separate methods?
fit(), transform() and fit_transform()? Why do we need these separate methods? Mid Q13:
Is max_depth in Scikit-learn the equivalent of pruning in decision trees? If not, how a decision tree is pruned using scikit?
max_depth in Scikit-learn the equivalent of pruning in decision trees? If not, how a decision tree is pruned using scikit? Mid Q14:
What is the difference between cross_validate and cross_val_score in Scikit-Learn?
cross_validate and cross_val_score in Scikit-Learn? Mid Mid Mid Q17:
Related To: Random Forest
How are feature_importances_ in RandomForestClassifier determined in Scikit-Learn?
Related To: Random Forestfeature_importances_ in RandomForestClassifier determined in Scikit-Learn? Mid Q18:
Related To: Data Processing
What's the difference between StratifiedKFold (with shuffle = True) and StratifiedShuffleSplit in Scikit-Learn?
Related To: Data ProcessingStratifiedKFold (with shuffle = True) and StratifiedShuffleSplit in Scikit-Learn? Mid Q19:
Suppose you have multiple CPU cores available, how can you use them to reduce the computational cost?
Mid Q20:
How would you split Train and Test samples in imbalanced classifications?
Mid Q21:
How do you optimize the Ridge Regression parameter?
Mid Q22:
Are there any advantage of XGBoost over GradientBoostingClassifier?
XGBoost over GradientBoostingClassifier? Senior Q23:
Can you use SVM with a custom kernel in Scikit-Learn?
SVM with a custom kernel in Scikit-Learn? Senior Q24:
How does sklearn KNeighborsClassifier compute class probabilites when setting weights='uniform'?
KNeighborsClassifier compute class probabilites when setting weights='uniform'? Senior Q25:
When you would use StratifiedKFold instead of KFold?
StratifiedKFold instead of KFold? Senior Q26:
How does Recursive Feature Elimination (RFE) works in Scikit-learn?
RFE) works in Scikit-learn? Senior Q27:
Does scikit-learn have a forward selection/stepwise regression algorithm?
Senior Q28:
When you would use TheilSenRegressor, RANSAC and HuberRegressor?
TheilSenRegressor, RANSAC and HuberRegressor? Expert Q29:
How to adjust the hyperparameters of MLP classifier using GridSearchCV to get more perfect performance?
GridSearchCV to get more perfect performance? Expert Scikit-Learn Practical Challenges
Mid Q2:
Related To: PCA
How can you obtain the principal components and the eigenvalues from Scikit-Learn PCA?
Related To: PCAPCA? Mid Mid Q4:
Related To: Pandas
Suppose df2 is a subset of df1. How can you get the rows of df1 which are not in df2?
Related To: Pandasdf2 is a subset of df1. How can you get the rows of df1 which are not in df2? Senior 
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