This example uses gradient descent to fit the model. It also contains a Scikit Learn's way of doing logistic regression, so we can compare the two implementations. A case study on using Logistic Regression. The dataset is from UCI machine learning repository. This ML algorithm is optimized by using K-fold and grid search and also comparison is shown in jupyter notebook dataset link
-
Notifications
You must be signed in to change notification settings - Fork 1
A case study on using Logistic Regression. The dataset is from UCI machine learning repository. This ML algorithm is optimized by using K-fold and grid search and comparison is shown in notebook
anantgupta129/Logistic-Regression-Case-Study---Breast-Cancer
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
A case study on using Logistic Regression. The dataset is from UCI machine learning repository. This ML algorithm is optimized by using K-fold and grid search and comparison is shown in notebook
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published