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10 Best Python Libraries for Machine Learning in 2025

Author

Ezeana Michael
Ezeana Michael is a data scientist with a passion for machine learning and technical writing. He has worked in the field of data science and has experience working with Python programming to derive insight from data, create machine learning models, and deploy them into production environments.

Frequently Asked Questions

What is a Python library?

A Python library refers to the collection of related modules or bundles of codes that can be utilized in various programs.

What is the best Python library for machine learning?

Scikit-learn (built on NumPy and SciPy) is the best Python machine learning library.

How do Python libraries work?

The collection of codes in the Python library can be reused which eliminates the need to write the code again for a program. To do so, the library is linked with the program. When we run the program, the linker automatically searches the library, extracts its functionalities, and interprets the program accordingly.

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