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I want to walk through some details in the '7. Naive Bayes.ipynb' , but there isn't a data file, so I was wondering if you could provide the data file. I will appreciate it.

Rolling for window based operation
In [2]:
titanic_data.Age.rolling(window=5,min_periods=1).agg(['sum','min'])

NameError Traceback (most recent call last)
in ()
----> 1 titanic_data.Age.rolling(window=5,min_periods=1).agg(['sum','min'])

NameError: name 'titanic_data' is not defined
For columns containing string, we have str utilities

1. In 1.4.2 Experiment : Change the value of matrices by Reference adding 10 to elements with even indices is wrong:

Add 10 to all the even indexes in matrix
mat = np.array([[1,2,3],[4,5,6],[7,8,9]])
mat1 = mat[::2,::2]
mat1 += 10

Nice, but it reduces matrix dimension from 3x3 to 2x2

2. Please, check 1.3.7 Horizontal Matrix splitting :

mat = np.random.randint(0,6,(3,7))
sp1,sp2,sp3 = np.hsplit(mat,[4,6])
print ('Original matrix of shape %s, is \n%s\n'%(mat.shape,mat))
print ('First split of shape %s, is \n%s\n'%(sp1.shape,sp1))
print ('Second split of shape %s, is \n%s\n'%(sp2.shape,sp2))
print ('Third split of shape %s, is \n%s\n'%(sp3.shape,sp3))

Are you sure, that it must be always split on [4,6] indices? If yes, would be better to explain these actions, because it's difficult to understand.