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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\5. Data Manipulation with Pandas\2. Hands On with Pandas\1. Creating\7. select rows.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\3. Multiple\3. set.py
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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\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\5. specific.py
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Data Scientist Career Path\7. Summary Statistics\1. Variable Types\9. one hot.py
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Data Scientist Career Path\7. Summary Statistics\1. Variable Types\8. label encoding.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\8. outer.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\6. specific 2.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\2. Hands On with Pandas\1. Creating\8. select multiple rows.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\2. Hands On with Pandas\1. Creating\3. load csv.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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