def create_dummies(df,col_name):
col_dummies=pd.get_dummies(df[col_name],prefix=col_name)
col_dummies.drop(col_dummies.columns[0],axis=1,inplace=True)
df=pd.concat(df[col_dummies],axis=1)
df.drop(col_name,axis=1,inplace=True)
return df
data_cat=data[['Brick','Neighborhood']]
for c_feature in ['Brick','Neighborhood']: