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from sklearn.linear_model import LinearRegression
lm = LinearRegression()
lm.fit(df_X, df_y) from sklearn.neighbors import KNeighborsClassifier
k = 1
knn = KNeighborsClassifier(n_neighbors=k)
knn.fit(X_train, y_train)from sklearn.cluster import KMeans
k = 1
km = KMeans(n_clusters=k)
km.fit(df_X)pip install six
from six import StringIO
- inputer
# old
from sklearn import preprocessing
imputer = preprocessing.Imputer()
# new
from sklearn.impute import SimpleImputer
imputer = SimpleImputer()