IBM Data Science Test 2025 – 400 Free Practice Questions to Pass the Exam

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Which Python library is widely used for machine learning?

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Seaborn

Scikit-learn

Scikit-learn is a widely used Python library specifically designed for machine learning. It provides simple and efficient tools for data mining and data analysis. One of its major strengths lies in its robust set of algorithms for classification, regression, clustering, and dimensionality reduction. Scikit-learn is built on top of NumPy, SciPy, and Matplotlib, which enhances its usability and allows it to integrated well into the data science stack.

The library offers a consistent interface for all models along with useful utilities for model selection, evaluation, and preprocessing. This makes it highly accessible for both beginners and experienced practitioners in the field of machine learning. It supports various data formats and is compatible with many other libraries, further solidifying its place as a go-to tool for implementing machine learning algorithms in Python.

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Numpy

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