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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.
Pre-processingsklearn.preprocessing.StandardScaler | sklearn.preprocessing.Imputer | sklearn.preprocessing.LabelBinarizer | sklearn.preprocessing.OneHotEncoder | sklearn.preprocessing.PolynomialFeatures |
Metricsklearn.metrics.accuracy_score | sklearn.metrics.log_loss | sklearn.metrics.roc_auc_score | sklearn.metrics.mean_absolute_error | sklearn.metrics.r2_score | sklearn.metrics.label_ranking_loss | sklearn.metrics.mutual_info_score |
Model Selectionsklearn.model_selection.KFold | sklearn.model_selection.StratifiedKFold | sklearn.model_selection.TimeSeriesSplit | sklearn.model_selection.train_test_split | sklearn.model_selection.GridSearchCV | sklearn.model_selection.RandomizedSearchCV | sklearn.model_selection.cross_val_score |
Regressionsklearn.tree.DecisionTreeRegressor | sklearn.svm.SVR | sklearn.linear_model.Linear Regression | sklearn.linear_model.Lasso | sklearn.linear_model.SGDRegressor | sklearn.linear_model.ElasticNet | sklearn.ensemble.RandomForest Regressor | sklearn.ensemble.GradientBoosting Regressor | sklearn.neural_network. MLPRegressor |
| | Classificationsklearn.neural_network.MLPClassifier | 16. sklearn.tree.DecisionTreeClassifier | sklearn.svm.SVC | sklearn.linear_model.Logistic Regression | sklearn.linear_model.SGDClassifier | sklearn.naive_bayes.GaussianNB | sklearn.neighbors.KNeighbors Classifier | sklearn.ensemble.RandomForestClassifier | sklearn.ensemble.GradientBoosting Classifier |
Clusteringsklearn.cluster.KMeans | sklearn.cluster.DBSCAN | sklearn.cluster.AgglomerativeClustering | sklearn.cluster.SpectralBiclustering |
Miscellaneoussklearn.datasets.load_boston | sklearn.datasets.make_classification | sklearn.feature_extraction.FeatureHasher | sklearn.feature_selection.SelectKBest | sklearn.pipeline.Pipeline | sklearn.semi_supervised.LabelPropagation |
Dimensionality Reductionsklearn.decomposition.PCA | sklearn.decomposition.LatentDirichletAllocation | klearn.decomposition.SparseCoder | sklearn.decomposition.DictionaryLearning |
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