An example notebook demonstrating exploratory data analysis (EDA) and the testing of machine learning algorithms, such as Random Forest, XGBoost, and Neural Network, including hyperparameter tuning using the GridSearchCV method.
-
Notifications
You must be signed in to change notification settings - Fork 0
papaz13/ML
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
EDA, Random Forest, XGBoost, Neural Network, Cross Validation, Hypertunning
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published