Traceback (most recent call last):
  File "D:\codigos\machine_learning\classifica_buscas.py", line 23, in <module>
    from sklearn.naive_bayes import MultinomialNB
  File "C:\Python27\lib\site-packages\sklearn\__init__.py", line 134, in <module>
    from .base import clone
  File "C:\Python27\lib\site-packages\sklearn\base.py", line 13, in <module>
    from .utils.fixes import signature
  File "C:\Python27\lib\site-packages\sklearn\utils\__init__.py", line 11, in <module>
    from .validation import (as_float_array,
  File "C:\Python27\lib\site-packages\sklearn\utils\validation.py", line 18, in <module>
    from ..utils.fixes import signature
  File "C:\Python27\lib\site-packages\sklearn\utils\fixes.py", line 144, in <module>
    from scipy.sparse.linalg import lsqr as sparse_lsqr  # noqa
  File "C:\Python27\lib\site-packages\scipy\sparse\linalg\__init__.py", line 114, in <module>
    from .isolve import *
  File "C:\Python27\lib\site-packages\scipy\sparse\linalg\isolve\__init__.py", line 6, in <module>
    from .iterative import *
  File "C:\Python27\lib\site-packages\scipy\sparse\linalg\isolve\iterative.py", line 7, in <module>
    from . import _iterative

import pandas as pd
df = pd.read_csv('buscas.csv')
X_df = df[['home', 'busca', 'logado']]
Y_df = df['comprou']

Xdummies_df = pd.get_dummies(X_df).astype(int)
Ydummies_df = Y_df

X = Xdummies_df.values
Y = Ydummies_df.values

porcentagem_treino = 0.9

tamanho_de_treino = int(porcentagem_treino * len(Y))
tamanho_de_teste = len(Y) - tamanho_de_treino

treino_dados = X[:tamanho_de_treino]
treino_marcacoes = Y[:tamanho_de_treino]

teste_dados = X[-tamanho_de_teste:]
teste_marcacoes = Y[-tamanho_de_teste:]

from sklearn.naive_bayes import MultinomialNB
modelo = MultinomialNB()
modelo.fit(treino_dados, treino_marcacoes)

resultado = modelo.predict(teste_dados)

diferencas = resultado - teste_marcacoes

acertos = [d for d in diferencas if d == 0]
total_de_acertos = len(acertos)
total_de_elementos = len(teste_dados)

taxa_de_acerto = 100.0 * total_de_acertos / total_de_elementos

print(taxa_de_acerto)
print(total_de_elementos)

ImportError: DLL load failed: NÒo foi possÝvel encontrar o m¾dulo especificado.