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Decoding Kaggle's 2023 AI Report: Essential Tips for Machine Learning with Tabular Data 🔍📈

vinlam.com · published 30 October 2023

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https://www.kaggle.com/AI-Report-2023
kaggle.com
https://mlcontests.com/state-of-competitive-machine-learning-2022
mlcontests.com
https://mlcontests.com/state-of-competitive-machine-learning-2022/
mlcontests.com
https://drivendata.co/blog.html
drivendata.co
https://www.kaggle.com/discussions?sort=votes&category=competitionWriteUps
kaggle.com
https://www.kaggle.com/discussions/getting-started/44997
kaggle.com
https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64821
kaggle.com
https://www.kaggle.com/code/rhysie/learnings-from-the-typical-tabular-pipeline
kaggle.com
https://www.kaggle.com/competitions/amex-default-prediction/overview
kaggle.com
https://www.kaggle.com/competitions/amp-parkinsons-disease-progression-prediction/overview
kaggle.com
https://www.kaggle.com/competitions/amex-default-prediction/discussion/347637
kaggle.com
https://www.kaggle.com/competitions/amp-parkinsons-disease-progression-prediction/discussion/411398
kaggle.com
http://www.feat.engineering
feat.engineering
https://featuretools.alteryx.com/en/stable/
featuretools.alteryx.com
https://neptune.ai/blog/feature-engineering-tools
neptune.ai
https://neptune.ai/blog/cross-validation-in-machine-learning-how-to-do-it-right
neptune.ai
https://machinelearningmastery.com/k-fold-cross-validation/
machinelearningmastery.com
https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html
scikit-learn.org
https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html
scikit-learn.org
https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html
scikit-learn.org
https://github.com/trent-b/iterative-stratification
github.com
https://www.linkedin.com/posts/danleedata_wait-you-are-telling-me-your-models-performance-activity-7057341218493493248-Xa2l
linkedin.com
https://paperswithcode.com/methods/category/deep-tabular-learning
paperswithcode.com
https://xgboost.readthedocs.io/en/stable/
xgboost.readthedocs.io
https://github.com/dmlc/xgboost/tree/master/demo
github.com
https://lightgbm.readthedocs.io/
lightgbm.readthedocs.io
https://catboost.ai/
catboost.ai
https://mlcontests.com/winning-toolkit/
mlcontests.com
https://arxiv.org/abs/2106.03253
arxiv.org
https://arxiv.org/abs/2207.08815
arxiv.org
A Short Chronology Of Deep Learning For Tabular Data Read at the source ↗
sebastianraschka.com
https://arxiv.org/pdf/2004.10240.pdf
arxiv.org
https://neptune.ai/blog/ensemble-learning-guide
neptune.ai
https://scikit-learn.org/stable/modules/ensemble.html
scikit-learn.org