SciKit Learn

---

• Introdução

Módulo “model selection”

• Grid Search CV
• K-Fold
• train_test_split
• cross-val-score

Módulo “pre-processing”

Standard Scaler

• fit_transform
• Label Encoder
  • fit_transform
• One-Hot Encoder
  • fit_transform
• PolynomialFeatures

Módulo “naive bayes”

GaussianNB

• Principais atributos
• fit
• predict

Módulo “metrics”

• accurancy_score
• confusion_matrix
• classification_report

Módulo “tree”

• Decision Tree Classifier
• Decision Tree Regressor
• plot_tree

Módulo “ensemble”

• Random Forest Classifier
• Random Forest Regressor
• ExtraTreesClassifier

Módulo “neighbors”

• K-Neighbors Classifier

Módulo “svm”

• SVC
• SVR

Módulo “neural network”

• MLP Classifier

Módulo “liner model”

• Linear Regression

Módulo “cluster”

• KMeans
• AgglomerativeClustering
• DBSCAN

Módulo “datasets”

• make_blobs

Módulo “decomposition”

• PCA
• KernelPCA

Módulo “feature-selection”

• VarianceThreshold

Módulo “discriminant-analysis”

• LinearDiscriminantAnalysis