Data analysis with python

7. Which Python library is commonly used for data preprocessing tasks, such as feature scaling and transformation in machine learning?

Matplotlib
Numpy
Scikit-learn
Pandas

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machine learning?" class="read-more button" href="https://exam.pscnotes.com/mcq/which-python-library-is-commonly-used-for-data-preprocessing-tasks-such-as-feature-scaling-and-transformation-in-machine-learning/#more-59232">Detailed SolutionWhich Python library is commonly used for data preprocessing tasks, such as feature scaling and transformation in machine learning?

8. Numeric reduction operation for timedelta64[ns] will return . . . . . . . . objects.

Timeseries
Timeplus
Timedelta
None of the mentioned

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. . . objects." class="read-more button" href="https://exam.pscnotes.com/mcq/numeric-reduction-operation-for-timedelta64ns-will-return-objects/#more-59217">Detailed SolutionNumeric reduction operation for timedelta64[ns] will return . . . . . . . . objects.

9. In Python, which library is often used for deep learning tasks, including neural network construction and training, with a focus on simplicity and flexibility?

Numpy
Keras
TensorFlow
Numpy

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11.4-42.9 11.4-132.3 11.4-132.3s0-89.4-11.4-132.3zm-317.5 213.5V175.2l142.7 81.2-142.7 81.2z"/> Subscribe on YouTube a focus on simplicity and flexibility?" class="read-more button" href="https://exam.pscnotes.com/mcq/in-python-which-library-is-often-used-for-deep-learning-tasks-including-neural-network-construction-and-training-with-a-focus-on-simplicity-and-flexibility/#more-59061">Detailed SolutionIn Python, which library is often used for deep learning tasks, including neural network construction and training, with a focus on simplicity and flexibility?

10. In Pandas, what method is used to calculate summary statistics for numerical columns in a DataFrame?

groupby()
value_counts()
describe()
reshape()

Detailed SolutionIn Pandas, what

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method is used to calculate summary statistics for numerical columns in a DataFrame?

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