Fundamentos de
Machine Learning
na prática

from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import cross_val_score
from sklearn.cluster import KMeans

# Aprendizagem supervisionada — KNN
modelo = KNeighborsClassifier(n_neighbors=5)
scores = cross_val_score(modelo, X, y, cv=10)
print(f"Acuracia media: {scores.mean():.2%}")

# Aprendizagem nao supervisionada — K-means
grupos = KMeans(n_clusters=3, random_state=42).fit(X)
print(grupos.labels_)