Se encuentra nuevo error en guia de models linear:
from sklearn.compose import make_column_transformer
from sklearn.preprocessing import OneHotEncoder
categorical_columns = ["RACE", "OCCUPATION", "SECTOR", "MARR", "UNION",
"SEX", "SOUTH"]
numerical_columns = ["EDUCATION", "EXPERIENCE", "AGE"]
pr
Dear friends, this is a friend from Latin America reporting the error in
one of his guides, the one on linear problems, which in the following
paragraph represents a variable through (sns):
train_dataset = X_train.copy()
train_dataset.insert(0, "WAGE", y_train)
_ = sns.pairplot(train_dataset, kind
