title: Working with the sklearn Boston Housing Dataset: Trying to create dataframe for coefficients
body: <p>I've ran the following lines of code</p>
  
  <pre><code>import pandas as pd
  import numpy as np
  import matplotlib.pyplot as plt
  import seaborn as sns
  %matplotlib inline
  
  from sklearn.datasets import load_boston
  boston = load_boston()
  print(boston.data.shape) 
  
  from sklearn.linear_model import LinearRegression
  from sklearn.model_selection import train_test_split
  
  x = pd.DataFrame(boston.data)
  x.columns = boston.feature_names
  y=pd.DataFrame(boston.target)
  y.columns=['TARGET']
  
  x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3,  random_state=101)
  
  model = LinearRegression()
  
  model.fit(x_train,y_train)
  
  
  print('Coefficients: \n', model.coef_)
  len(model.coef_)
  
  Coefficients: 
   [[-8.74917163e-02  5.02793747e-02  2.06785359e-02  3.75457604e+00
    -1.77933846e+01  3.24118660e+00  1.20902568e-02 -1.40965453e+00
     2.63476633e-01 -1.03376395e-02 -9.52633123e-01  6.20783942e-03
    -5.97955998e-01]]
  1
  
  
  coeffecients = pd.DataFrame(data=model.coef_,index=x.columns,columns=['Coefficient'])
  </code></pre>
  
  <p>error msg: 
      Shape of passed values is (13, 1), indices imply (1, 13)</p>
  
  <p>I think the issue is from the length for the array of coefficients being 1. Not sure though.</p>