MCQs

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Overall MCQs for Reference

Which library is widely used for deep learning in Python?
a. Matplotlib
b. TensorFlow
c. OpenCV
d. BeautifulSoup
Answer: b. TensorFlowgyansetu
Who developed Python Programming Language?
a. Wick van Rossum
b. Rasmus Lerdorf
c. Guido van Rossum
d. Niene Stom
Answer: c. Guido van Rossumsanfoundry
Which type of programming does Python support?
a. Object-oriented programming
b. Structured programming
c. Functional programming
d. All of the mentioned
Answer: d. All of the mentionedsanfoundry
Which machine learning library is popularly used for data mining in Python?
a. Seaborn
b. scikit-learn
c. pygame
d. PyQT
Answer: b. scikit-learngetsdeready
What is the main use of the Pandas library in Python?
a. Image processing
b. Data manipulation and analysis
c. Web development
d. Audio signal processing
Answer: b. Data manipulation and analysisgetsdeready
Which metric is used to measure the ratio of true positives to the sum of true and false positives?
a. Recall
b. Precision
c. F1-score
d. ROC
Answer: b. Precisiongeeksforgeeks
What is the technique used to avoid overfitting in machine learning models?
a. Maximum pooling
b. Regularization
c. Encryption
d. Clustering
Answer: b. Regularizationgeeksforgeeks
Which Python library is used for numerical computing and array operations?
a. pandas
b. NumPy
c. scikit-image
d. nltk
Answer: b. NumPygetsdeready
Which library provides a simplified interface for using TensorFlow in deep learning?
a. Keras
b. PyTorch
c. XGBoost
d. matplotlib
Answer: a. Kerasgetsdeready
What is the process of scaling features called in machine learning?
a. Feature engineering
b. Feature scaling
c. Feature selection
d. Feature extraction
Answer: b. Feature scalinggeeksforgeeks
What is the use of matplotlib in Python machine learning workflows?
a. Data visualization
b. Text analysis
c. HTTP requests
d. Feature scaling
Answer: a. Data visualizationentri
What does SGD stand for in machine learning optimization?
a. Structured Gradient Descent
b. Stochastic Gradient Descent
c. Simplified Gradient Descent
d. Standard Gradient Descent
Answer: b. Stochastic Gradient Descentgetsdeready
Which Python library is generally used for Natural Language Processing (NLP)?
a. nltk
b. dask
c. seaborn
d. requests
Answer: a. nltkgetsdeready
What does the ROC curve represent in evaluation metrics?
a. Relation of costs
b. Receiver Operating Characteristic
c. Regression Overfitting Curve
d. Random Output Calculation
Answer: b. Receiver Operating Characteristicgeeksforgeeks
What function is commonly used to split datasets in scikit-learn?
a. train_test_split
b. data_split
c. split_train
d. test_train
Answer: a. train_test_splitscribd
What is the ratio of the number of correct predictions to total predictions called?
a. Precision
b. Recall
c. Accuracy
d. Specificity
Answer: c. Accuracygeeksforgeeks
In Python, what is the method to check the structure and dimensions of a NumPy array?
a. .shape
b. .info()
c. .type()
d. .dim()
Answer: a. .shapescribd
What is “Feature Selection” in machine learning?
a. Removing unnecessary features
b. Scaling all features
c. Generating synthetic features
d. Merging features
Answer: a. Removing unnecessary featuresgeeksforgeeks
What Python library would you use for tabular data manipulation?
a. pandas
b. OpenCV
c. requests
d. urllib
Answer: a. pandasgetsdeready
What is the primary advantage of using PyTorch?
a. Numerical computations
b. Dynamic computation graphs
c. Static computation graphs
d. Web server creation
Answer: b. Dynamic computation graphsgetsdeready
What method does sklearn use for cross-validation?
a. cross_val_score
b. cross_test_score
c. validate_score
d. val_cross_score
Answer: a. cross_val_scoregetsdeready
What learning type does clustering belong to?
a. Supervised Learning
b. Unsupervised Learning
c. Reinforcement Learning
d. Semi-supervised Learning
Answer: b. Unsupervised Learningscribd
In Python’s scikit-learn, which module supports linear regression?
a. sklearn.cluster
b. sklearn.linear_model
c. sklearn.tree
d. sklearn.neural_network
Answer: b. sklearn.linear_modelgetsdeready
Which of the following is mutable: Series, DataFrame, Panel?
a. Series
b. DataFrame
c. Panel
d. All of the above
Answer: d. All of the abovescribd
What does the LEGB rule stand for in Python?
a. List, End, Global, Built-in
b. Local, Enclosing, Global, Built-in
c. Loop, End, Global, Built-in
d. List, Exception, Global, Built-in
Answer: b. Local, Enclosing, Global, Built-insanfoundry
What is the basic difference between List and Tuple in Python?
a. Both are mutable
b. Tuple is mutable, List is immutable
c. List is mutable, Tuple is immutable
d. Both are immutable
Answer: c. List is mutable, Tuple is immutablescribd
What is the main role of the activation function in neural networks?
a. Optimization
b. Non-linearity introduction
c. Gradient calculation
d. Data cleaning
Answer: b. Non-linearity introductionscribd
Which Python function displays plots in Jupyter notebooks?
a. show()
b. display()
c. plot()
d. draw()
Answer: a. show()scribd
What is the most common technique to handle missing data?
a. Drop columns
b. Mean/Median/Mode Imputation
c. Ignore missing entries
d. Random replacement
Answer: b. Mean/Median/Mode Imputationgeeksforgeeks
Which machine learning algorithm does not require feature scaling?
a. KNN
b. SVM
c. Decision Trees
d. Linear Regression
Answer: c. Decision Treesgeeksforgeeks
Which method is used in Python to reshape arrays in NumPy?
a. reshape()
b. shape()
c. retype()
d. resize()
Answer: a. reshape()scribd
What does PCA stand for in feature reduction?
a. Principal Calculation Algorithm
b. Principal Component Analysis
c. Primary Component Adjustment
d. Percentage Calculation Algorithm
Answer: b. Principal Component Analysisgeeksforgeeks
Which of the following Python libraries specialize in gradient boosting?
a. scikit-learn
b. XGBoost
c. Keras
d. Statsmodels
Answer: b. XGBoostgetsdeready
What is the main evaluation metric for classification problems?
a. Mean Squared Error
b. Accuracy
c. R-squared
d. Log-loss
Answer: b. Accuracygeeksforgeeks
What Python library provides DataFrames as a core data structure?
a. Seaborn
b. pandas
c. Keras
d. NumPy
Answer: b. pandasgetsdeready
What function in pandas is used to read CSV files?
a. read_csv
b. open_csv
c. readfile
d. read_data
Answer: a. read_csvgetsdeready
What is the default axis for sum operation in pandas DataFrame?
a. axis=0
b. axis=1
c. axis=2
d. axis=None
Answer: a. axis=0scribd
Which command is used to install Python packages?
a. python add
b. pip install
c. pip add
d. python download
Answer: b. pip installigmguru
Which Python library is NOT primarily used for data visualization?
a. matplotlib
b. seaborn
c. pandas
d. plotly
Answer: c. pandasgetsdeready
What is the output of type() in Python?sanfoundry+2
a. <class ‘tuple’>
b. <class ‘list’>
c. <class ‘dict’>
d. <class ‘array’>
Answer: b. <class ‘list’>ccbp
What is called when the output depends only on the current input and not previous inputs in neural networks?
a. RNN
b. CNN
c. Feedforward NN
d. LSTM
Answer: c. Feedforward NNnielit
Which Python function removes duplicates from a pandas DataFrame?
a. unique()
b. drop_duplicates()
c. remove_duplicates()
d. del_duplicates()
Answer: b. drop_duplicates()getsdeready
What is the role of the ‘fit’ method in scikit-learn models?
a. Evaluate the model
b. Train the model
c. Test the model
d. Save the model
Answer: b. Train the modelgetsdeready
Which method is used to normalize data in scikit-learn?
a. scale()
b. normalize()
c. StandardScaler
d. MinMaxScaler
Answer: d. MinMaxScalergeeksforgeeks
Which technique combines outputs from many models for better prediction?
a. Regularization
b. Ensemble Learning
c. Clustering
d. Imputation
Answer: b. Ensemble Learninggetsdeready
Which is NOT a supervised machine learning algorithm in scikit-learn?
a. Decision Trees
b. K-Means
c. Logistic Regression
d. SVM
Answer: b. K-Meansgetsdeready
Which library provides the ‘DataFrame.groupby’ functionality?
a. pandas
b. NumPy
c. seaborn
d. PyTorch
Answer: a. pandasgetsdeready
In Python, which is used to calculate the dot product of two arrays?
a. np.dot
b. np.cross
c. np.mul
d. np.prod
Answer: a. np.dotigmguru
Which function returns the unique elements of an array in NumPy?
a. unique()
b. set()
c. distinct()
d. find_unique()
Answer: a. unique()igmguru
What is the main purpose of regularization in machine learning?
a. To reduce underfitting
b. To reduce overfitting
c. To increase accuracy
d. To boost computation
Answer: b. To reduce overfittinggeeksforgeeks

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