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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\3. Multiple\4. scikit.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\7. Advanced\2. Tree\8. limit.py
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Data Scientist Career Path\3. Python Fundamentals\2. Python Functions\1. Intro to Function\11. multiple returns.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\14. SQL for Interview Prep\1. Aggregate\1. Aggregate\5. avg.sql
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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\3. Python Fundamentals\2. Python Functions\1. Intro to Function\12. review.py
3 1 -
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\7. Advanced\3. Forest\1. bag.py
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Data Scientist Career Path\3. Python Fundamentals\2. Python Functions\1. Intro to Function\2. defining function.py
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Data Scientist Career Path\3. Python Fundamentals\2. Python Functions\1. Intro to Function\3. calling function.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\3. Multiple\5. matplotlib.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\7. Advanced\3. Forest\2. feature.py
3 1 -
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Data Scientist Career Path\3. Python Fundamentals\2. Python Functions\1. Intro to Function\4. whitespace.py
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Data Scientist Career Path\3. Python Fundamentals\2. Python Functions\1. Intro to Function\5. parameters n arguments.py
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A
Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\7. Advanced\3. Forest\3. classify.py
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