Scikit Learn #

Scikit-learn, also known as sklearn, is a popular open-source Python library used for machine learning tasks such as classification, regression, and clustering. It provides a variety of tools and functions for performing machine learning tasks, including data preprocessing, feature extraction, feature selection, and model selection.

Scikit-learn includes a wide range of machine learning algorithms, including support vector machines (SVMs), random forests, k-nearest neighbors, and neural networks, among others. It also includes tools for model evaluation and validation, such as cross-validation and metrics for measuring model performance.

Scikit-learn is designed to be efficient and easy to use, with a simple and consistent API that makes it easy to work with different machine learning algorithms and models. It is built on top of NumPy, SciPy, and Matplotlib, and can be easily integrated with other Python libraries for data analysis and visualization. Overall, scikit-learn is a popular choice for machine learning tasks in Python due to its ease of use, versatility, and performance.