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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\11. Python Files\3. reading a line.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\1. Python Lambda Function\3. ends with a.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\3. Multiple\2. dataset.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\1. Python Lambda Function\5. even odd.py
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Data Scientist Career Path\3. Python Fundamentals\11. Python Files\5. appending a file.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\1. Python Lambda Function\7. movie rating.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\7. Advanced\2. Tree\5. recursive.py
6 1 1
A
Data Scientist Career Path\5. Data Manipulation with Pandas\1. Python Lambda Function\9. double square.py
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Data Scientist Career Path\3. Python Fundamentals\11. Python Files\7. csv.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\2. Hands On with Pandas\1. Creating\10. select rows logic 2.py
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Data Scientist Career Path\10. Natural Language Processing\2. Text Processing\4. stop.py
 1 3
A
Data Scientist Career Path\3. Python Fundamentals\11. Python Files\9. read csv files.py
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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
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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 -