Leveraging the power of Python tools to streamline ETL processes and Data Pipelines. Taking use of Numpy, Pandas and Scikit-learn to perform operations on data. Also using K Fold cross validation to measure accuracy and using GridSearchCV to decide the best model.
-
Notifications
You must be signed in to change notification settings - Fork 1
Leveraging the power of Python tools to streamline ETL processes and Data Pipelines. Taking use of Numpy, Pandas and Scikit-learn to perform operations on data. Also using K Fold cross validation to measure accuracy and using GridSearchCV to decide the best model.
Data-Science-and-Analytics-Club/ETL-to-Data-Delivery
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Leveraging the power of Python tools to streamline ETL processes and Data Pipelines. Taking use of Numpy, Pandas and Scikit-learn to perform operations on data. Also using K Fold cross validation to measure accuracy and using GridSearchCV to decide the best model.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published