Machine learning libraries are specialized software packages that provide algorithms, utilities, and frameworks for developing machine learning models. These libraries facilitate the process of ML data processing, ML model training, ML evaluation, and ML prediction, making it easier for developers and data scientists to implement machine learning solutions. Popular machine learning libraries include:
Each library has its strengths and is chosen based on the specific requirements of the project, such as the complexity of the model, the type of machine learning algorithm needed, and the level of control and flexibility required over the model training and evaluation process.