Upload 2 files

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c1ad9be927d7997c0f7743ec38056527d0a5fa3e8f7844d46671fd0e567b4164
+size 708

regressao_california_housing.py

@@ -32,6 +32,8 @@ housing = fetch_california_housing()
 df = pd.DataFrame(housing.data, columns=housing.feature_names)
 df['target'] = housing.target
 
+df.head()
+
 # Pré-processamento de Dados: Normalização das variáveis numéricas
 scaler = StandardScaler()
 df[housing.feature_names] = scaler.fit_transform(df[housing.feature_names])
@@ -88,6 +90,7 @@ print(coefficients)
 """
 
 # Salvando o modelo
-from joblib import dump
+import pickle
 
-dump(model, 'model.joblib')
+with open('model.pkl', 'wb') as file:
+    pickle.dump(model, file)