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Data-Science-Learning-Path
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Grade
Name
Complexity
Churn
Issues
A
Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\4. Classification\1. KNN\10. sklearn.py
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Data Scientist Career Path\10. Natural Language Processing\5. Word Embeding\1. intro.py
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Data Scientist Career Path\3. Python Fundamentals\6. Python Loop\2. List Comprehension Code Challenge\1. double.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\3. Working with List\3. list range.py
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Data Scientist Career Path\3. Python Fundamentals\6. Python Loop\1. Intro to Loop\3. loop using range.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\4. Classification\1. KNN\2. distance2.py
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Data Scientist Career Path\3. Python Fundamentals\6. Python Loop\1. Intro to Loop\4. while loop.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\3. Working with List\1. list insert.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\3. Working with List\10. list sort 2.py
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Data Scientist Career Path\10. Natural Language Processing\2. Text Processing\7. tag.py
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Data Scientist Career Path\3. Python Fundamentals\6. Python Loop\1. Intro to Loop\5. while loop list.py
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Data Scientist Career Path\3. Python Fundamentals\6. Python Loop\2. List Comprehension Code Challenge\14. first only.py
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Data Scientist Career Path\3. Python Fundamentals\6. Python Loop\2. List Comprehension Code Challenge\13. greater than.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\5. Challenge (Advanced)\2. remove middle.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\4. Challenge\5. combine sort.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\1. Intro to List\4. list method.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\1. Intro to List\13. list 2d modify.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\3. Multiple\7. correlation.py
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Data Scientist Career Path\12. Foundations of Machine Learning Unsupervised Learning\1. KMeans\1. iris.py
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Data Scientist Career Path\3. Python Fundamentals\2. Python Functions\2. Challenge\3. win percentage.py
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