1) What is Scikit-learn?
a) A programming language
b) A machine learning library in Python
c) A database software
d) A cloud-based analytics tool
Answer: b) A machine learning library in Python
2) Which of the following algorithms is NOT included in Scikit-learn?
a) Linear Regression
b) K-Nearest Neighbors
c) Neural Networks
d) Random Forest
Answer: c) Neural Networks
3) Which of the following is NOT a feature of Scikit-learn?
a) Data preprocessing
b) Model selection
c) Model evaluation
d) Source code compilation
Answer: d) Source code compilation
4) Which Scikit-learn tool is used for dimensionality reduction?
a) PCA
b) SVM
c) KNN
d) Random Forest
Answer: a) PCA
5) Which of the following is a supervised learning algorithm included in Scikit-learn?
a) K-Means Clustering
b) Decision Tree
c) Hierarchical Clustering
d) DBSCAN
Answer: b) Decision Tree
6) Which of the following is an unsupervised learning algorithm included in Scikit-learn?
a) Linear Regression
b) Logistic Regression
c) K-Means Clustering
d) Decision Tree
Answer: c) K-Means Clustering
7) Which of the following is NOT a kernel function used in SVM in Scikit-learn?
a) Linear
b) Polynomial
c) Sigmoid
d) Exponential
Answer: d) Exponential
8) Which of the following is a method used for model selection in Scikit-learn?
a) Grid Search
b) Random Search
c) Both a and b
d) None of the above
Answer: c) Both a and b
9) Which of the following is NOT a performance metric used for model evaluation in Scikit-learn?
a) Accuracy
b) Precision
c) Recall
d) F1 score
e) Euclidean distance
Answer: e) Euclidean distance
10) Which of the following is a text data preprocessing technique in Scikit-learn?
a) Principal Component Analysis
b) Vectorization
c) Feature scaling
d) Clustering
Answer: b) Vectorization
11) Which of the following is a method used for imbalanced data handling in Scikit-learn?
a) Data normalization
b) Data augmentation
c) SMOTE
d) Feature selection
Answer: c) SMOTE
12) Which of the following is an example of ensemble learning algorithm included in Scikit-learn?
a) K-Means Clustering
b) Random Forest
c) Linear Regression
d) Support Vector Machines
Answer: b) Random Forest
13) Which of the following is a technique used for feature selection in Scikit-learn?
a) PCA
b) Lasso regression
c) Ridge regression
d) K-Means Clustering
Answer: b) Lasso regression
14) Which of the following is a method used for missing data imputation in Scikit-learn?
a) Data normalization
b) Data scaling
c) Mean imputation
d) Median imputation
Answer: c) Mean imputation
15) Which of the following is a clustering algorithm included in Scikit-learn?
a) Linear Regression
b) Logistic Regression
c) K-Means Clustering
d) Decision Tree
Answer: c) K-Means Clustering
16) Which of the following is a method used for reducing overfitting in Scikit-learn?
a) Regularization
b) Data augmentation
c) Random forest
d) None of the above
Answer: a) Regularization
17) Which of the following is a method used for handling categorical features in Scikit-learn?
a) Label Encoding
b) One-Hot Encoding
c) Both a and b
d) None of the above
Answer: c) Both a and b
18) Which of the following is a method used for reducing the computational time in Scikit-learn?
a) Parallel processing
b) Distributed processing
c) Both a and b
d) None of the above
Answer: a) Parallel processing
19) Which of the following is a method used for handling outliers in Scikit-learn?
a) Removing them completely
b) Replacing them with the mean
c) Replacing them with the median
d) None of the above
Answer: d) None of the above
20) Which of the following is a method used for time series analysis in Scikit-learn?
a) ARIMA
b) KNN
c) PCA
d) SVM
Answer: a) ARIMA
21) Which of the following is a method used for model deployment in Scikit-learn?
a) Flask
b) Django
c) Both a and b
d) None of the above
Answer: a) Flask
22) Which of the following is a decision tree algorithm included in Scikit-learn?
a) ID3
b) C4.5
c) CART
d) All of the above
Answer: d) All of the above
23) Which of the following is a method used for data normalization in Scikit-learn?
a) Min-Max scaling
b) Standardization
c) Both a and b
d) None of the above
Answer: c) Both a and b
24) Which of the following is a method used for data scaling in Scikit-learn?
a) Min-Max scaling
b) Standardization
c) Both a and b
d) None of the above
Answer: a) Min-Max scaling
25) Which of the following is a supervised learning algorithm used for regression analysis in Scikit-learn?
a) K-Means Clustering
b) Decision Tree
c) Support Vector Regression
d) DBSCAN
Answer: c) Support Vector Regression
26) Which of the following is an example of a Naive Bayes algorithm included in Scikit-learn?
a) Gaussian Naive Bayes
b) Multinomial Naive Bayes
c) Both a and b
d) None of the above
Answer: c) Both a and b
27) Which of the following is a method used for hyperparameter tuning in Scikit-learn?
a) Grid Search
b) Random Search
c) Bayesian Optimization
d) All of the above
Answer: d) All of the above
28) Which of the following is a method used for image data preprocessing in Scikit-learn?
a) Edge detection
b) Histogram equalization
c) Both a and b
d) None of the above
Answer: c) Both a and b
29) Which of the following is an example of a distance metric used in KNN algorithm in Scikit-learn?
a) Euclidean distance
b) Manhattan distance
c) Cosine distance
d) All of the above
Answer: d) All of the above
30) Which of the following is a text data preprocessing technique used in Scikit-learn?
a) Stemming
b) Lemmatization
c) Both a and b
d) None of the above
Answer: c) Both a and b
31) Which of the following is a method used for time series forecasting in Scikit-learn?
a) ARIMA
b) FFT
c) Both a and b
d) None of the above
Answer: a) ARIMA
32) Which of the following is a method used for feature scaling in Scikit-learn?
a) Min-Max scaling
b) Standardization
c) Both a and b
d) None of the above
Answer: b) Standardization
33) Which of the following is a method used for data clustering in Scikit-learn?
a) KNN
b) PCA
c) K-Means Clustering
d) Linear Regression
Answer: c) K-Means Clustering
34) Which of the following is a method used for handling missing values in Scikit-learn?
a) Removing them completely
b) Replacing them with the mean
c) Replacing them with the median
d) All of the above
Answer: d) All of the above
35) Which of the following is a method used for time series analysis and forecasting in Scikit-learn?
a) ARIMA
b) FFT
c) Both a and b
d) None of the above
Answer: a) ARIMA
36) Which of the following is a classification algorithm included in Scikit-learn?
a) Linear Regression
b) Logistic Regression
c) Decision Tree
d) All of the above
Answer: b) Logistic Regression
37) Which of the following is NOT a method used for model evaluation in Scikit-learn?
a) Mean Absolute Error
b) Mean Squared Error
c) Root Mean Squared Error
d) Standard Deviation
Answer: d) Standard Deviation
38) Which of the following is a method used for model deployment in Scikit-learn?
a) Flask
b) AWS
c) Both a and b
d) None of the above
Answer: a) Flask
39) Which of the following is a method used for clustering analysis in Scikit-learn?
a) Principal Component Analysis
b) K-Means Clustering
c) Linear Regression
d) Support Vector Machines
Answer: b) K-Means Clustering
40) Which of the following is a method used for feature extraction in Scikit-learn?
a) PCA
b) Lasso regression
c) Ridge regression
d) All of the above
Answer: a) PCA
41) Which of the following is a method used for model interpretation in Scikit-learn?
a) Permutation Importance
b) SHAP values
c) Both a and b
d) None of the above
Answer: c) Both a and b
42) Which of the following is a method used for overfitting detection in Scikit-learn?
a) ROC Curve
b) Precision-Recall Curve
c) Learning Curve
d) All of the above
Answer: d) All of the above
43) Which of the following is a method used for data visualization in Scikit-learn?
a) Matplotlib
b) Seaborn
c) Both a and b
d) None of the above
Answer: c) Both a and b
44) Which of the following is an example of a tree-based algorithm included in Scikit-learn?
a) Random Forest
b) KNN
c) SVM
d) Both a and c
Answer: a) Random Forest
45) Which of the following is a method used for data scaling in Scikit-learn?
a) Min-Max scaling
b) Standardization
c) Both a and b
d) None of the above
Answer: b) Standardization
46) Which of the following is a method used for model selection in Scikit-learn?
a) Grid Search
b) Random Search
c) Both a and b
d) None of the above
Answer: c) Both a and b
47) Which of the following is a method used for handling imbalanced data in Scikit-learn?
a) Data augmentation
b) SMOTE
c) Both a and b
d) None of the above
Answer: c) Both a and b
48) Which of the following is a method used for model tuning in Scikit-learn?
a) Hyperparameter Optimization
b) Grid Search
c) Random Search
d) All of the above
Answer: d) All of the above
49) Which of the following is a method used for model interpretation in Scikit-learn?
a) Permutation Importance
b) SHAP values
c) Both a and b
d) None of the above
Answer: c) Both a and b
50) Which of the following is NOT a method used for preprocessing text data in Scikit-learn?
a) Vectorization
b) N-grams
c) PCA
d) Stopword removal
Answer: c) PCA
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