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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\2. Multiple\2. Challenge\7.sql
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Data Scientist Career Path\3. Python Fundamentals\7. Python Strings\1. Intro to String\1. string.py
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Data Scientist Career Path\10. Natural Language Processing\1. Getting Started\9. challenge.py
 1 -
A
Data Scientist Career Path\3. Python Fundamentals\7. Python Strings\1. Intro to String\11. conditional string 2.py
5 1 -
A
Data Scientist Career Path\14. SQL for Interview Prep\2. Multiple\2. Challenge\9.sql
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A
Data Scientist Career Path\3. Python Fundamentals\7. Python Strings\1. Intro to String\2. string 2.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\6. More\1. Logistic\5. sigmoid.py
1 1 -
A
Data Scientist Career Path\3. Python Fundamentals\7. Python Strings\1. Intro to String\4. string concatenate.py
1 1 -
A
Data Scientist Career Path\14. SQL for Interview Prep\3. Window\1. Window\2. syntax.sql
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A
Data Scientist Career Path\3. Python Fundamentals\7. Python Strings\1. Intro to String\6. negative indices.py
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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\14. SQL for Interview Prep\3. Window\1. Window\4. first.sql
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A
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
A
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 -