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Data-Science-Learning-Path
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Grade
Name
Complexity
Churn
Issues
A
Data Scientist Career Path\10. Natural Language Processing\4. TFIDF\5. convert.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\3. inner 2.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\11. review.py
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Data Scientist Career Path\8. Hypothesis Testing\1. Testing a Sample Statistics\1. One Sample t Test in SciPy\2. implement.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\8. Hypothesis Testing\1. Testing a Sample Statistics\1. One Sample t Test in SciPy\3. assumption.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\7. mismatched.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\3. Multiple\8. evaluate.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\9. left right.py
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Data Scientist Career Path\8. Hypothesis Testing\1. Testing a Sample Statistics\1. One Sample t Test in SciPy\4. review.py
 1 1
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Data Scientist Career Path\8. Hypothesis Testing\1. Testing a Sample Statistics\2. Binomial Test\6. inspect.py
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Data Scientist Career Path\8. Hypothesis Testing\1. Testing a Sample Statistics\2. Binomial Test\5. null2.py
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Data Scientist Career Path\7. Summary Statistics\7. Visualizing Categorical Data\1. Bar\3. order.py
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Data Scientist Career Path\7. Summary Statistics\6. Summary Statistics for Categorical Data\6. proportion.py
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Data Scientist Career Path\7. Summary Statistics\6. Summary Statistics for Categorical Data\4. ct2.py
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Data Scientist Career Path\7. Summary Statistics\5. Quartiles, Quantiles, Interquartile Range\3. IQR\3. scipy.py
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Data Scientist Career Path\7. Summary Statistics\3. Variance n Standard Deviation\2. Standard Deviation\3. numpy.py
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Data Scientist Career Path\7. Summary Statistics\2. Mean Median Mode\1. Mean\2. calculate.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\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\2. inner.py
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