What is scikit-learn used for?

Scikit-learn is a popular Python library that makes machine learning much easier. It offers a wide range of tools to help with tasks like classification, regression, clustering, and more. What I like most is how straightforward it is to use — the consistent interface means I can quickly try out different algorithms without much hassle. It’s really helpful for building and testing models during research or any machine learning project.

Scikit-learn is a powerful library, well-integrated with other Python libraries such as pandas, NumPy, Matplotlib, and Seaborn. It supports creating machine learning pipelines and is highly compatible with model selection tools, making the entire process—from data preprocessing to evaluation—efficient and streamlined.