Sklearn model sorting

sklearn.linear_model:Linear Models

Linear classifiers

• linear_model.logisticRegression()
• linear_model.logisticRegressionCV()
• linear_model.PassiveAggressiveClassifier()
• linear_model.Perceptron()
• linear_model.RidgeClassifier()
• linear_model.RidgeClassifierCV()
• linear_model.SGDClassifier()
• linear_model.SGDOneClassSVM()

Classical linear regressors

• linear_model.LinearRegression()
• linear_model.Ridge()
• linear_model.RidgeCV()
• linear_model.SGDRegressor()

Regressors with variable selection

• linear_model.ElasticNet()
• linear_model.ElasticNetCV()
• linear_model.Lars()
• linear_model.LarsCV()
• linear_model.Lasso()
• linear_model.LassoCV()
• linear_model.LassoLars()
• linear_model.LassoLarsCV()
• linear_model.LassoLarsIC()
• linear_model.linear_model.OrthogonalMatchingPursuit()
• linear_model.OrthogonalMatchingPursuitCV()

Bayesian regressors

• linear_model.ARDRegression()
• linear_model.BayesianRidge()

Multi-task linear regressors with variable selection

• linear_model.MultiTaskElasticNet()
• linear_model.MultiTaskElasticNetCV()
• linear_model.MultiTaskLasso()
• linear_model.MultiTaskLassoCV()

Outlier-robust regressors

• linear_model.HuberRegressor()
• linear_model.QuantileRegressor()
• linear_model.RANSACRegressor()
• linear_model.TheilSenRegressor()

Outlier-robust regressors

• linear_model.PoissonRegerssor()
• linear_model.TweedieRegerssor()
• linear_model.GammaRegerssor()

Outlier-robust regressors

• linear_model.PassiveAggressiveRegressor()
• linear_model.enet_path()
• linear_model.lars_path()
• linear_model.lars_path_gram()
• linear_model.lasso_path()
• linear_model.orthogonal_mp()
• linear_model.orthogonal_mp_gram()
• linear_model.ridge_regression()

sklearn.gaussian_process:Gaussian Processes

• gaussian_process.GaussianProcessesClassifier()
• gaussian_process.GaussianProcessesRegressor()

sklearn.neighbors: Nearest Neighbors

• neighbors.KNeighborsClassifier()
• neighbors.KNeighborsr()
• neighbors.RadiusNeighborsClassifier()
• neighbors.RadiusNeighborsRegressor()

sklearn.neural_network: Neural network models

• neural_network.BernoulliRBM()
• neural_network.MLPClassifier()
• neural_network.MLPRegressor()

sklearn.svm: Support Vector Machines

• svm.LinearSVC()
• svm.LinearSVR()
• svm.NuSVC()
• svm.NuSVR()
• svm.OneClassSVM()
• svm.SVC()
• svm.SVR()

sklearn.tree: Decision Trees

• tree.DecisionTreeClassifier()
• tree.DecisionRegressor()
• tree.ExtraTreeClassifier()
• tree.ExtraTreeRegressor()
• tree.export_graphviz()

sklearn.naive_bayes: Naive Bayes

• naive_bayes.BernoulliNB()
• naive_bayes.CategoricalNB()
• naive_bayes.ComplementNB()
• naive_bayes.GaussianNB()
• naive_bayes.MultinomialNB()

sklearn.ensemble: Ensemble Methods

• ensemble.AdaBoostClassifier()
• ensemble.AdaBoostRegressor()
• ensemble.BaggingClassifier()
• ensemble.BaggingRegressor()
• ensemble.ExtraTreesClassifier()
• ensemble.ExtraTreesRegressor()
• ensemble.GradientBoostingClassifier()
• ensemble.GradientBoostingRegressor()
• ensemble.IsolationForest()
• ensemble.RandomForestClassifier()
• ensemble.RandomForestRegressor()
• ensemble.RandomTreesEmbedding()
• ensemble.StackingClassifier()
• ensemble.StackingRegressor()
• ensemble.VotingClassifier()
• ensemble.VotingRegressor()
• ensemble.HistGradientBoostingRegressor()
• ensemble.HistGradientBoostingClassifier()

besides , also lgbm,xgboost,catboosting

Reference resources ：sklearn Official website