Linking pages
Linked pages
- New Sack Data Added for Quarterbacks | Sports-Reference.com https://www.pro-football-reference.com/blog/index37a8.html 1632 comments
- Bootstrap · The most popular HTML, CSS, and JS library in the world. http://getbootstrap.com 715 comments
- https://www.kaggle.com/surveys/2017 49 comments
- Interpretable Machine Learning https://christophm.github.io/interpretable-ml-book/ 45 comments
- Disqus – The #1 way to build your audience https://disqus.com 32 comments
- GitHub - slundberg/shap: A game theoretic approach to explain the output of any machine learning model. https://github.com/slundberg/shap 20 comments
- Selecting good features – Part III: random forests | Diving into data http://blog.datadive.net/selecting-good-features-part-iii-random-forests/ 17 comments
- GitHub - marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier https://github.com/marcotcr/lime 12 comments
- Interpreting random forests | Diving into data http://blog.datadive.net/interpreting-random-forests/ 10 comments
- [1602.04938] "Why Should I Trust You?": Explaining the Predictions of Any Classifier http://arxiv.org/abs/1602.04938 1 comment
- Random forest interpretation with scikit-learn | Diving into data http://blog.datadive.net/random-forest-interpretation-with-scikit-learn/ 0 comments
- Interpretable Machine Learning with XGBoost | by Scott Lundberg | Towards Data Science https://towardsdatascience.com/interpretable-machine-learning-with-xgboost-9ec80d148d27 0 comments
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