Scikit-learn is a machine learning library used in Python programming. It provides simple and efficient tools for data analysis and modeling, making it accessible for both beginners and experts in the field of machine learning.
Scikit-learn includes a wide variety of supervised and unsupervised learning algorithms, such as classification, regression, clustering, dimensionality reduction, and model selection. It’s built upon other scientific libraries like NumPy and SciPy and integrates well with other data science tools like Pandas and Matplotlib.
It is widely used in industry, academia, and research to develop machine learning models, perform statistical analysis, and derive insights from data.