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Quiz on Machine Learning with Scikit-learn

Quiz on Machine Learning with Scikit-learn

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Question 1 of 10

1. Question

What is Scikit-learn primarily used for?

Web development
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Image editing
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Machine learning and data modeling
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Network security
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Question 2 of 10

2. Question

Which command is used to install Scikit-learn in Python?

pip install sklearn
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install scikit
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pip install scikit-learn
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sklearn install
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Question 3 of 10

3. Question

What is the correct way to import the Scikit-learn library?

import scikit
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import sklearn
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import sklearn.ml
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import ml.sklearn
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Question 4 of 10

4. Question

Which of the following is used in Scikit-learn to split a dataset into training and test sets?

train_test_divide()
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split_data()
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data_split()
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train_test_split()
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Question 5 of 10

5. Question

Which Scikit-learn module contains most machine learning models like LinearRegression and RandomForestClassifier?

sklearn.datasets
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sklearn.model_selection
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sklearn.metrics
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sklearn.linear_model
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Question 6 of 10

6. Question

What type of data structure does Scikit-learn usually accept as input?

Excel files only
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CSV files only
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NumPy arrays or Pandas DataFrames
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HTML tables
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Question 7 of 10

7. Question

Which Scikit-learn method is used to train a model?

predict()
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fit()
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score()
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evaluate()
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Question 8 of 10

8. Question

Which method is used to make predictions after a model has been trained?

train()
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submit()
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predict()
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transform()
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Question 9 of 10

9. Question

Which of the following is a classification model available in Scikit-learn?

LinearRegression()
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DecisionTreeClassifier()
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KMeans()
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PCA()
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Question 10 of 10

10. Question

What is the purpose of sklearn.metrics?

To clean the data
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To visualize data
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To evaluate model performance
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To split the dataset
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