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Data-Science-Learning-Path
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Grade
Name
Complexity
Churn
Issues
A
Data Scientist Career Path\14. SQL for Interview Prep\1. Aggregate\1. Aggregate\3. sum.sql
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\1. Intro to List\2. list contain.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\4. Classification\1. KNN\6. count.py
8 1 2
A
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\14. SQL for Interview Prep\1. Aggregate\1. Aggregate\5. avg.sql
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\1. Intro to List\6. list plus.py
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Data Scientist Career Path\10. Natural Language Processing\5. Word Embeding\4. distance.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\1. Intro to List\8. list access negative.py
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Data Scientist Career Path\14. SQL for Interview Prep\1. Aggregate\1. Aggregate\7. group1.sql
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\2. Combined with ZIP Function\list with zip function.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\4. Classification\1. KNN\8. set.py
8 1 2
A
Data Scientist Career Path\14. SQL for Interview Prep\1. Aggregate\1. Aggregate\9. having.sql
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Data Scientist Career Path\10. Natural Language Processing\1. Getting Started\1. text.py
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Data Scientist Career Path\10. Natural Language Processing\1. Getting Started\2. parse.py
3 1 1
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Data Scientist Career Path\10. Natural Language Processing\1. Getting Started\6. similarity.py
1 1 -
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\4. TFIDF\5. convert.py
 1 2
A
Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\3. Multiple\7. correlation.py
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A
Data Scientist Career Path\12. Foundations of Machine Learning Unsupervised Learning\1. KMeans\1. iris.py
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A
Data Scientist Career Path\3. Python Fundamentals\2. Python Functions\2. Challenge\3. win percentage.py
1 1 -