# Awesome RGF

This page contains a curated list of blogs, competitions solutions about RGF.

Please feel free to send a pull request if you find things that could be included in this document.

### Blog Posts

* [Regularized Greedy Forest (RGF) - Nice alternative to tree-boosting](https://www.linkedin.com/pulse/regularized-greedy-forest-rgf-nice-alternative-marios-michailidis/)
* [An Introductory Guide to Regularized Greedy Forests (RGF) with a case study in Python](https://www.analyticsvidhya.com/blog/2018/02/introductory-guide-regularized-greedy-forests-rgf-python/)
* [Regularized Greedy Forest – The Scottish Play (Act I)](https://www.statworx.com/ch/blog/regularized-greedy-forest-the-scottish-play-act-i/)
* [Regularized Greedy Forest – The Scottish Play (ACT II)](https://www.statworx.com/ch/blog/regularized-greedy-forest-the-scottish-play-act-ii/)
* [The Gradient Boosters II: Regularized Greedy Forest](https://deep-and-shallow.com/2020/02/09/the-gradient-boosters-ii-regularized-greedy-forest/)

### Machine Learning Competitions Winning Solutions and Kernels

* [1st Place Solution (TReNDS Neuroimaging)](https://www.kaggle.com/c/trends-assessment-prediction/discussion/163017)
* [1st Place Solution (Home Credit Default Risk)](https://www.kaggle.com/c/home-credit-default-risk/discussion/64821)
* [1st Place Solution (Allstate Claims Severity)](https://www.kaggle.com/c/allstate-claims-severity/discussion/26416)
* [2nd Place Solution (Home Credit Default Risk)](https://www.kaggle.com/c/home-credit-default-risk/discussion/64722)
* [3rd Place Solution (Santander Customer Satisfaction)](https://www.kaggle.com/c/santander-customer-satisfaction/discussion/20978)
* [13th Place Solution (IEEE-CIS Fraud Detection)](https://www.kaggle.com/c/ieee-fraud-detection/discussion/111485)
* [18th Place Solution (Porto Seguro’s Safe Driver Prediction)](https://www.kaggle.com/c/porto-seguro-safe-driver-prediction/discussion/44579)
* [35th Place Solution (Porto Seguro’s Safe Driver Prediction)](https://www.kaggle.com/c/porto-seguro-safe-driver-prediction/discussion/44711)
* [Kernel (Porto Seguro’s Safe Driver Prediction)](https://www.kaggle.com/scirpus/regularized-greedy-forest/notebook)