scikit-learn

Scikit-learn was initially created by David Cournapeau in 2007 as a way to easily create machine learning models in the Python programming language. Since its inception, the library has grown immensely in popularity because of its ease of use, wide adoption within the machine learning community, and flexibility of use. scikit-learn is usually the first machine learning package that's implemented by practitioners using Python because of the large number of algorithms available for classification, regression, and clustering tasks and the speed with which results can be obtained.

For example, scikit-learn's LinearRegression class is an excellent choice if you wish to quickly train a simple regression model, whereas if a more complex algorithm is required that's capable of learning nonlinear relationships, scikit-learn's GradientBoostingRegressor or any one of the support vector machine algorithms are great choices. Likewise, with classification...