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Natural_Language_Processing_Specialization
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Name
Complexity
Churn
Issues
A
C3-Natural_Language_Processing_with_Sequence_Models\W1\Practice_Assignment\utils.py
10 1 -
C
C3-Natural_Language_Processing_with_Sequence_Models\W1\Practice_Assignment\w1_unittest.py
46 1 27
A
C3-Natural_Language_Processing_with_Sequence_Models\W2\Assignment\w2_unittest.py
58 1 11
B
C3-Natural_Language_Processing_with_Sequence_Models\W3\Assignment\w3_unittest.py
45 1 10
A
C4-Natural_Language_Processing_with_Attention_Models\W1\Assignment\utils.py
9 1 -
A
C4-Natural_Language_Processing_with_Attention_Models\W1\Assignment\w1_unittest.py
7 1 2
A
C4-Natural_Language_Processing_with_Attention_Models\W2\Assignment\utils.py
2 1 1
F
C4-Natural_Language_Processing_with_Attention_Models\W2\Assignment\w2_unittest.py
12 1 94
A
C4-Natural_Language_Processing_with_Attention_Models\W3\Assignment\test_utils.py
15 1 -
A
C4-Natural_Language_Processing_with_Attention_Models\W3\Assignment\transformer_utils.py
28 1 2
A
C4-Natural_Language_Processing_with_Attention_Models\W3\Assignment\utils.py
6 1 -
A
C4-Natural_Language_Processing_with_Attention_Models\W3\Assignment\w3_unittest.py
37 1 11