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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\2. Python Functions\1. Intro to Function\12. review.py
3 1 -
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Data Scientist Career Path\5. Data Manipulation with Pandas\2. Hands On with Pandas\2. Modifying\1. add 1.py
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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\5. Data Manipulation with Pandas\2. Hands On with Pandas\2. Modifying\11. review.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\5. Data Manipulation with Pandas\2. Hands On with Pandas\2. Modifying\3. add 3.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\3. Aggregates in Pandas\2. aggregate 1.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\2. Hands On with Pandas\2. Modifying\5. lambda.py
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Data Scientist Career Path\3. Python Fundamentals\2. Python Functions\1. Intro to Function\5. parameters n arguments.py
1 1 -
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Data Scientist Career Path\5. Data Manipulation with Pandas\2. Hands On with Pandas\2. Modifying\7. lambda column.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\7. Advanced\3. Forest\3. classify.py
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Data Scientist Career Path\7. Summary Statistics\3. Variance n Standard Deviation\2. Standard Deviation\2. std.py
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Data Scientist Career Path\7. Summary Statistics\3. Variance n Standard Deviation\2. Standard Deviation\1. intro.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\7. Summary Statistics\1. Variable Types\6. alter.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\1. intro.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\3. Aggregates in Pandas\3. aggregate 2.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
1 1 -