Hello all,
\nHope this post finds you well. Wishing you the best for the assignment! I have collated a few references for this competition. Hope they are useful for one and all to onboard effectively-
\nWishing you all the best for the competition and best regards!
\nHappy learning!
Hello all,
\nHope this post finds you well. Wishing you the best for the assignment! I have collated a few references for this competition. Hope they are useful for one and all to onboard effectively-
\nWishing you all the best for the competition and best regards!
\nHappy learning!
Thanks for sharing!!
", "rawMarkdown": "Thanks for sharing!!", "votes": null }, { "id": "3000319", "postDate": "09/27/2024 14:14:08", "content": "Thanks for sharing, Ravi. Very helpful.
", "rawMarkdown": "Thanks for sharing, Ravi. Very helpful.", "votes": null }, { "id": "3001765", "postDate": "09/29/2024 08:52:11", "content": "Thanks for sharing! I will try to refer to the codes of past winners.
", "rawMarkdown": "Thanks for sharing! I will try to refer to the codes of past winners.", "votes": null }, { "id": "3003592", "postDate": "10/01/2024 05:22:14", "content": "thanks! it will be very helpful!
", "rawMarkdown": "thanks! it will be very helpful!", "votes": null }, { "id": "3022545", "postDate": "10/19/2024 17:05:12", "content": "Thanks for sharing, it is very helpful.
", "rawMarkdown": "Thanks for sharing, it is very helpful.", "votes": null }, { "id": "3050009", "postDate": "11/19/2024 17:59:16", "content": "Great helpful and used until today, thank you @ravi20076.
\nJust a curious question: so far in the competition, are you more concerned about the csv files or time series? Time series processing is more diverse, but at the same time not everyone has parquet files (in fact, we are missing ~75% of the part). Which strategy do you prefer now?
\nLooking forward to your insights!
", "rawMarkdown": "Great helpful and used until today, thank you @ravi20076.\n\nJust a curious question: so far in the competition, are you more concerned about the *csv* files or time series? Time series processing is more diverse, but at the same time not everyone has *parquet* files (in fact, we are missing **~75%** of the part). Which strategy do you prefer now?\n\nLooking forward to your insights!", "votes": null }, { "id": "3050450", "postDate": "11/20/2024 08:12:39", "content": "Wait for 1 month - a lot of the successful submissions will reveal the strategy @fangzitao 😀
", "rawMarkdown": "Wait for 1 month - a lot of the successful submissions will reveal the strategy @fangzitao 😀", "votes": null }, { "id": "3057472", "postDate": "11/28/2024 07:22:52", "content": "haha that's a good idea🤣
", "rawMarkdown": "haha that's a good idea🤣", "votes": null }, { "id": "3077973", "postDate": "12/21/2024 16:19:58", "content": "Thanks so much @ravi20076 - I really enjoyed your dry humor :)
", "rawMarkdown": "Thanks so much @ravi20076 - I really enjoyed your dry humor :)", "votes": null }, { "id": "3077993", "postDate": "12/21/2024 16:44:03", "content": "Thanks for this helpful informations
", "rawMarkdown": "Thanks for this helpful informations", "votes": null } ], "comments": [ { "id": 3000304, "author_name": "girikkhullar", "author_url": "", "post_date": "09/27/2024 13:59:53", "content": "Thanks for sharing!!
", "votes": null, "replies": [] }, { "id": 3000319, "author_name": "ethanp345", "author_url": "", "post_date": "09/27/2024 14:14:08", "content": "Thanks for sharing, Ravi. Very helpful.
", "votes": null, "replies": [] }, { "id": 3001765, "author_name": "masatoito8823", "author_url": "", "post_date": "09/29/2024 08:52:11", "content": "Thanks for sharing! I will try to refer to the codes of past winners.
", "votes": null, "replies": [] }, { "id": 3003592, "author_name": "tkaska", "author_url": "", "post_date": "10/01/2024 05:22:14", "content": "thanks! it will be very helpful!
", "votes": null, "replies": [] }, { "id": 3022545, "author_name": "n3m3sis00", "author_url": "", "post_date": "10/19/2024 17:05:12", "content": "Thanks for sharing, it is very helpful.
", "votes": null, "replies": [] }, { "id": 3050009, "author_name": "fangzitao", "author_url": "", "post_date": "11/19/2024 17:59:16", "content": "Great helpful and used until today, thank you @ravi20076.
\nJust a curious question: so far in the competition, are you more concerned about the csv files or time series? Time series processing is more diverse, but at the same time not everyone has parquet files (in fact, we are missing ~75% of the part). Which strategy do you prefer now?
\nLooking forward to your insights!
", "votes": null, "replies": [ { "id": 3050450, "author_name": "ravi20076", "author_url": "", "post_date": "11/20/2024 08:12:39", "content": "Wait for 1 month - a lot of the successful submissions will reveal the strategy @fangzitao 😀
", "votes": null, "replies": [ { "id": 3057472, "author_name": "xiaoleilian", "author_url": "", "post_date": "11/28/2024 07:22:52", "content": "haha that's a good idea🤣
", "votes": null, "replies": [] } ] } ] }, { "id": 3077973, "author_name": "dan3dewey", "author_url": "", "post_date": "12/21/2024 16:19:58", "content": "Thanks so much @ravi20076 - I really enjoyed your dry humor :)
", "votes": null, "replies": [] }, { "id": 3077993, "author_name": "sumit08", "author_url": "", "post_date": "12/21/2024 16:44:03", "content": "Thanks for this helpful informations
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2993672": "Hello all,\n\nHope this post finds you well. Wishing you the best for the assignment! I have collated a few references for this competition. Hope they are useful for one and all to onboard effectively- \n\n# Readings- \n1. https://www.sciencedirect.com/science/article/abs/pii/S0306460313002669\n2. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2911081/\n3. https://www.sciencedirect.com/science/article/abs/pii/S0747563205000439\n4. https://www.sciencedirect.com/science/article/abs/pii/S016503279900107X\n5. https://jamanetwork.com/journals/jamapediatrics/article-abstract/1107596\n6. https://link.springer.com/article/10.1186/s12888-020-02640-x\n7. https://www.liebertpub.com/doi/abs/10.1089/109493103321168009\n8. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.885819/full\n9. https://www.sciencedirect.com/science/article/abs/pii/S0306460322001897\n10. https://link.springer.com/article/10.1007/s40489-021-00270-x\n11. https://www.sciencedirect.com/science/article/abs/pii/S0747563217303977\n12. https://www.sciencedirect.com/science/article/abs/pii/S0022395621004441\n13. http://eprints.rclis.org/40917/\n14. https://www.liebertpub.com/doi/abs/10.1089/cyber.2011.0427\n15. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0019660\n\n# Objective function- references\n- https://www.kaggle.com/code/ravi20076/aes2024-baseline-inference\n- https://www.kaggle.com/code/aroraaman/quadratic-kappa-metric-explained-in-5-simple-steps\n- https://www.kaggle.com/code/abhishek/optimizer-for-quadratic-weighted-kappa\n- https://www.kaggle.com/code/ravi20076/aes2024-xgboost-starter\n- https://www.kaggle.com/code/reighns/understanding-the-quadratic-weighted-kappa\n- https://www.kaggle.com/code/prashant111/simple-explanation-of-quadratic-weighted-kappa\n\n# References from across Kaggle- time series analysis\n## [Child Mind Institute - Detect Sleep States](https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states)\n### Code\n- https://www.kaggle.com/code/tubotubo/cmi-submit\n- https://www.kaggle.com/code/carlmcbrideellis/zzzs-random-forest-model-starter\n- https://www.kaggle.com/code/gvyshnya/to-sleep-or-not-to-sleep-deep-eda-dive\n- https://www.kaggle.com/code/lccburk/feature-engineering-and-random-forest-prediction\n- https://www.kaggle.com/code/carlmcbrideellis/zzzs-make-small-starter-datasets-target\n- https://www.kaggle.com/code/patrick0302/viz-of-sleeping-time-series\n- https://www.kaggle.com/code/werus23/sleep-critical-point-infer\n- https://www.kaggle.com/code/andradaolteanu/zzz-good-night-sleep-with-80-memory-reduction\n- https://www.kaggle.com/code/itsuki9180/detect-sleep-states-inference\n- https://www.kaggle.com/code/carlmcbrideellis/zzzs-plots-of-all-277-anglez-and-enmo-series\n- https://www.kaggle.com/code/meeratif/sleep-states-child-analysis-and-visualization\n- https://www.kaggle.com/code/renatoreggiani/feature-eng-ideas-and-lightgbm-cmi\n- https://www.kaggle.com/code/ravi20076/sleepstate-eda-baseline\n\n### High scoring approaches-\n- https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/459715 -- rank1\n- https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/459627 -- rank2\n- https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/459599 -- rank3\n- https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/459637 -- rank4\n- https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/459766 -- rank5\n- https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/discussion/459604 -- rank6\n\n## [TPS April 2022](https://www.kaggle.com/competitions/tabular-playground-series-apr-2022)\n### Code\n- https://www.kaggle.com/code/ambrosm/tpsapr22-eda-which-makes-sense\n- https://www.kaggle.com/code/lordozvlad/tps-apr-pytorch-bidirectional-lstm\n- https://www.kaggle.com/code/ambrosm/tpsapr22-best-model-without-nn\n- https://www.kaggle.com/code/kellibelcher/time-series-classification-with-lstms-sensor-eda\n- https://www.kaggle.com/code/ravi20076/tpsapr22-lgbm-lstm\n\n### High scoring approaches-\n- https://www.kaggle.com/competitions/tabular-playground-series-apr-2022/discussion/322259 -- winning solution