Scikit-learn is an open-source Python library that implements a range of machine learning, preprocessing, cross-validation and visualization algorithms using a unified interface.
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sklearn.preprocessing.StandardScaler
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sklearn.preprocessing.Imputer
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sklearn.preprocessing.LabelBinarizer
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sklearn.preprocessing.OneHotEncoder
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sklearn.preprocessing.PolynomialFeatures
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sklearn.metrics.accuracy_score
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sklearn.metrics.log_loss
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sklearn.metrics.roc_auc_score
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sklearn.metrics.mean_absolute_error
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sklearn.metrics.r2_score
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sklearn.metrics.label_ranking_loss
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sklearn.metrics.mutual_info_score
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sklearn.model_selection.KFold
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sklearn.model_selection.StratifiedKFold
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sklearn.model_selection.TimeSeriesSplit
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sklearn.model_selection.train_test_split
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sklearn.model_selection.GridSearchCV
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sklearn.model_selection.RandomizedSearchCV
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sklearn.model_selection.cross_val_score
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sklearn.tree.DecisionTreeRegressor
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sklearn.svm.SVR
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sklearn.linear_model.Linear Regression
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sklearn.linear_model.Lasso
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sklearn.linear_model.SGDRegressor
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sklearn.linear_model.ElasticNet
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sklearn.ensemble.RandomForest Regressor
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sklearn.ensemble.GradientBoosting Regressor
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sklearn.neural_network. MLPRegressor
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sklearn.neural_network.MLPClassifier
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16. sklearn.tree.DecisionTreeClassifier
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sklearn.svm.SVC
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sklearn.linear_model.Logistic Regression
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sklearn.linear_model.SGDClassifier
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sklearn.naive_bayes.GaussianNB
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sklearn.neighbors.KNeighbors Classifier
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sklearn.ensemble.RandomForestClassifier
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sklearn.ensemble.GradientBoosting Classifier
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sklearn.cluster.KMeans
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sklearn.cluster.DBSCAN
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sklearn.cluster.AgglomerativeClustering
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sklearn.cluster.SpectralBiclustering
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sklearn.datasets.load_boston
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sklearn.datasets.make_classification
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sklearn.feature_extraction.FeatureHasher
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sklearn.feature_selection.SelectKBest
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sklearn.pipeline.Pipeline
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sklearn.semi_supervised.LabelPropagation
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sklearn.decomposition.PCA
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sklearn.decomposition.LatentDirichletAllocation
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klearn.decomposition.SparseCoder
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sklearn.decomposition.DictionaryLearning
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