Feature engineering, MRMR feature selection and XGBoost modeling for the Kaggle House Prices Regression competition.
Best submission score (September 2022): 0.12143 RMSLE, 271th place, top 8%.
Markdown report
RMarkdown file with code
-
Notifications
You must be signed in to change notification settings - Fork 0
AhmetZamanis/Kaggle-House-Prices-Regression-FeatureEng
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Feature engineering, selection and XGBoost modeling for the Kaggle House Prices Regression competition.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published