main
Data-Science-Learning-Path
Repository badge with A rating
View on GitHub
Grade
Name
Complexity
Churn
Issues
A
Data Scientist Career Path\3. Python Fundamentals\10. Python Modules\1. modules.py
 1 -
A
Data Scientist Career Path\4. Data Acquisition\1. SQL\3. Commands\3. as.sql
 1 -
A
Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\7. Advanced\1. SVM\7. polynomial.py
 1 -
A
Data Scientist Career Path\4. Data Acquisition\1. SQL\3. Commands\5. between.sql
 1 -
A
Data Scientist Career Path\3. Python Fundamentals\10. Python Modules\3. namespaces.py
 1 -
A
Data Scientist Career Path\4. Data Acquisition\1. SQL\3. Commands\7. count.sql
 1 -
A
Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\2. Regression\2. Linear\9. put2.py
 1 -
A
Data Scientist Career Path\4. Data Acquisition\1. SQL\3. Commands\9. delete.sql
 1 -
A
Data Scientist Career Path\3. Python Fundamentals\10. Python Modules\5. files.py
 1 -
A
Data Scientist Career Path\3. Python Fundamentals\11. Python Files\1. reading a file.py
 1 -
A
Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\3. Multiple\1. intro.py
 1 -
A
Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\9. left right.py
 1 -
A
Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\8. outer.py
 1 -
A
Data Scientist Career Path\5. Data Manipulation with Pandas\2. Hands On with Pandas\2. Modifying\6. lambda if.py
 1 -
A
Data Scientist Career Path\5. Data Manipulation with Pandas\2. Hands On with Pandas\2. Modifying\4. column.py
 1 -
A
Data Scientist Career Path\5. Data Manipulation with Pandas\1. Python Lambda Function\10. add random.py
 1 -
A
Data Scientist Career Path\4. Data Acquisition\2. Web Scraping\6. tags.py
 1 -
A
Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\3. Multiple\7. correlation.py
 1 -
A
Data Scientist Career Path\12. Foundations of Machine Learning Unsupervised Learning\1. KMeans\1. iris.py
 1 -
A
Data Scientist Career Path\3. Python Fundamentals\2. Python Functions\2. Challenge\3. win percentage.py
1 1 -