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Data-Science-Learning-Path
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Grade
Name
Complexity
Churn
Issues
A
Data Scientist Career Path\3. Python Fundamentals\3. Python Control Flow\2. Challenge\3. twice as large.py
2 1 2
A
Data Scientist Career Path\3. Python Fundamentals\3. Python Control Flow\2. Challenge\4. divisible by ten.py
2 1 2
A
Data Scientist Career Path\3. Python Fundamentals\3. Python Control Flow\2. Challenge\5. not sum to ten.py
2 1 2
A
Data Scientist Career Path\3. Python Fundamentals\3. Python Control Flow\3. Challenge (Advanced)\1. in range.py
3 1 2
A
Data Scientist Career Path\3. Python Fundamentals\3. Python Control Flow\3. Challenge (Advanced)\2. same name.py
2 1 2
A
Data Scientist Career Path\3. Python Fundamentals\3. Python Control Flow\3. Challenge (Advanced)\3. always false.py
3 1 2
A
Data Scientist Career Path\3. Python Fundamentals\5. Python List\4. Challenge\4. more than n.py
2 1 2
A
Data Scientist Career Path\3. Python Fundamentals\5. Python List\5. Challenge (Advanced)\5. middle item.py
2 1 2
A
Data Scientist Career Path\10. Natural Language Processing\2. Text Processing\4. stop.py
 1 3
A
Data Scientist Career Path\10. Natural Language Processing\2. Text Processing\5. stem.py
 1 3
A
Data Scientist Career Path\10. Natural Language Processing\2. Text Processing\6. lemma.py
 1 3
A
Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\2. Regression\1. Distance\4. hamming.py
7 1 3
A
Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\2. Regression\1. Distance\5. scipy.py
7 1 3
A
Data Scientist Career Path\10. Natural Language Processing\5. Word Embeding\6. word2vec.py
8 1 4
B
Data Scientist Career Path\2. Getting Started with Data Science\1. Introduction to Data Science\probability.py
19 1 4
A
Data Scientist Career Path\10. Natural Language Processing\5. Word Embeding\2. vector.py
 1 6