- Sanity check: Any pitfalls in normalizing the target variable by a feature for any decision tree regression model? https://en.wikipedia.org/wiki/Leakage_(machine_learning) 8 comments datascience
Linking pages
- I got fooled by AI-for-science hype—here's what it taught me https://www.understandingai.org/p/i-got-fooled-by-ai-for-science-hypeheres 288 comments
- GitHub - wesmadrigal/GraphReduce: Abstractions for feature engineering on large graphs of tabular data. https://github.com/wesmadrigal/GraphReduce 1 comment
- bnomial-archive/questions.md at master · akhildevelops/bnomial-archive · GitHub https://github.com/Enforcer007/bnomial-archive/blob/master/questions.md 0 comments
- Comparing Re:infer and Google AutoML for Conversational Data Intelligence | Re:infer Docs https://reinfer.io/docs/blog/2021/06/16/google-automl-vs-reinfer 0 comments
- A Comprehensive Study Guide for the Google Professional Machine Learning Engineer Certification | by Jeffrey Luppes | Towards Data Science https://towardsdatascience.com/a-comprehensive-study-guide-for-the-google-professional-machine-learning-engineer-certification-1e411db4d2cf 0 comments
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