Finally! Won my second bronze medal in Kaggle and I am really happy that I will be moving up to the Expert Tier. Kaggle is such a wonderful platform filled with extraordinary and KIND people who are willing to share their knowledge!
\n\nFirstly, I would like to thank my teammates, @prashanth and @pranav without whom this wouldn't have been possible. You guys are extremely talented and open towards implementing/sharing different kind of ideas.
\n\nMy Kaggle Heroes \nI would like to thank the mentors of \"How To Win a Data Science Competition\" course in coursera which was instrumental in helping me learn minor tricks which I wasn't aware of earlier. @Mikhail , @Dmitry , @KazAnova , @Alexander and @Dmitry Ulyanov
\n\n@Olivier, @SRK , @Kxx , @Giba , @Jack , @Erik - Thanks for the amazing kernels, discussions and ideas which you had shared.
\n\nFew take aways from participating in competitions
\n1) TRUST THE PROCESS. Home Credit competition was my personal favorite and I would say that I gave my 200% for this competition compared to all other competitions. (PS : I was destroyed in the Private LB :P). Even though you lose out on the Private LB you are always a winner in gaining knowledge. So it is always a win win situation. Keep trying, be persistent! Remember every Grandmaster was once a novice, so TRUST THE PROCESS and of course trust your CV score as well ;)
2) RESEARCH AND THEN POST QUESTIONS IN DISCUSSIONS. I personally like to read about techniques/methods and try it before asking for someone's opinion,by doing so it enables you to understand the topic in depth.
\n\n3) GIVE BACK SOMETHING TO THE COMMUNITY THAT HELPED YOU GROW. The least you can do is to share some ideas/techniques that others might find in interesting. In addition Kagglers who create kernels spend a lot of time to make it perfect, please up-vote the kernel if you find it useful, by doing so it encourages them to post more kernals.
\n\nWill post my pipeline by tomorrow EOD.
\n\nCheers
", "messages": [ { "id": "480078", "postDate": "02/27/2019 18:52:59", "content": "Finally! Won my second bronze medal in Kaggle and I am really happy that I will be moving up to the Expert Tier. Kaggle is such a wonderful platform filled with extraordinary and KIND people who are willing to share their knowledge!
\n\nFirstly, I would like to thank my teammates, @prashanth and @pranav without whom this wouldn't have been possible. You guys are extremely talented and open towards implementing/sharing different kind of ideas.
\n\nMy Kaggle Heroes \nI would like to thank the mentors of \"How To Win a Data Science Competition\" course in coursera which was instrumental in helping me learn minor tricks which I wasn't aware of earlier. @Mikhail , @Dmitry , @KazAnova , @Alexander and @Dmitry Ulyanov
\n\n@Olivier, @SRK , @Kxx , @Giba , @Jack , @Erik - Thanks for the amazing kernels, discussions and ideas which you had shared.
\n\nFew take aways from participating in competitions
\n1) TRUST THE PROCESS. Home Credit competition was my personal favorite and I would say that I gave my 200% for this competition compared to all other competitions. (PS : I was destroyed in the Private LB :P). Even though you lose out on the Private LB you are always a winner in gaining knowledge. So it is always a win win situation. Keep trying, be persistent! Remember every Grandmaster was once a novice, so TRUST THE PROCESS and of course trust your CV score as well ;)
2) RESEARCH AND THEN POST QUESTIONS IN DISCUSSIONS. I personally like to read about techniques/methods and try it before asking for someone's opinion,by doing so it enables you to understand the topic in depth.
\n\n3) GIVE BACK SOMETHING TO THE COMMUNITY THAT HELPED YOU GROW. The least you can do is to share some ideas/techniques that others might find in interesting. In addition Kagglers who create kernels spend a lot of time to make it perfect, please up-vote the kernel if you find it useful, by doing so it encourages them to post more kernals.
\n\nWill post my pipeline by tomorrow EOD.
\n\nCheers
", "rawMarkdown": "Finally! Won my second bronze medal in Kaggle and I am really happy that I will be moving up to the Expert Tier. Kaggle is such a wonderful platform filled with extraordinary and KIND people who are willing to share their knowledge! \n\nFirstly, I would like to thank my teammates, [@prashanth][1] and [@pranav][2] without whom this wouldn't have been possible. You guys are extremely talented and open towards implementing/sharing different kind of ideas.\n\n**My Kaggle Heroes** \nI would like to thank the mentors of \"How To Win a Data Science Competition\" course in coursera which was instrumental in helping me learn minor tricks which I wasn't aware of earlier. [@Mikhail][3] , [@Dmitry][4] , [@KazAnova][5] , [@Alexander][6] and [@Dmitry Ulyanov][7]\n\n[@Olivier][8], [@SRK][9] , [@Kxx][10] , [@Giba][11] , [@Jack][12] , [@Erik][14] - Thanks for the amazing kernels, discussions and ideas which you had shared.\n\n**Few take aways from participating in competitions** \n1) **TRUST THE PROCESS**. Home Credit competition was my personal favorite and I would say that I gave my 200% for this competition compared to all other competitions. (PS : I was destroyed in the Private LB :P). Even though you lose out on the Private LB you are always a winner in gaining knowledge. So it is always a win win situation. Keep trying, be persistent! Remember every Grandmaster was once a novice, so TRUST THE PROCESS and of course trust your CV score as well ;)\n \n2) **RESEARCH AND THEN POST QUESTIONS IN DISCUSSIONS.** I personally like to read about techniques/methods and try it before asking for someone's opinion,by doing so it enables you to understand the topic in depth. \n \n3) **GIVE BACK SOMETHING TO THE COMMUNITY THAT HELPED YOU GROW.** The least you can do is to share some ideas/techniques that others might find in interesting. In addition Kagglers who create kernels spend a lot of time to make it perfect, please up-vote the kernel if you find it useful, by doing so it encourages them to post more kernals. \n\nWill post my pipeline by tomorrow EOD.\n\nCheers\n\n\n [1]: https://www.kaggle.com/prashanth1994\n [2]: https://www.kaggle.com/pranav84\n [3]: https://www.kaggle.com/mikhailtrofimov\n [4]: https://www.kaggle.com/utility\n [5]: https://www.kaggle.com/kazanova\n [6]: https://www.kaggle.com/aguschin\n [7]: https://www.kaggle.com/dulyanov\n [8]: https://www.kaggle.com/ogrellier\n [9]: https://www.kaggle.com/sudalairajkumar\n [10]: https://www.kaggle.com/kailex\n [11]: https://www.kaggle.com/titericz\n [12]: https://www.kaggle.com/rsakata\n [14]: https://www.kaggle.com/erikbruin", "votes": null }, { "id": "480112", "postDate": "02/27/2019 19:43:25", "content": "Congrats on reaching expert! I just started up \"How to Win a Data Science Comp\" and am looking forward to learning some more tips and tricks.
", "rawMarkdown": "Congrats on reaching expert! I just started up \"How to Win a Data Science Comp\" and am looking forward to learning some more tips and tricks.", "votes": null }, { "id": "480365", "postDate": "02/28/2019 05:18:35", "content": "Thanks Liam :) The course is very useful.
", "rawMarkdown": "Thanks Liam :) The course is very useful.", "votes": null }, { "id": "480446", "postDate": "02/28/2019 07:39:30", "content": "Early Congratulations on becoming competitions expert. @prashanththangavel
", "rawMarkdown": "Early Congratulations on becoming competitions expert. @prashanththangavel", "votes": null }, { "id": "480502", "postDate": "02/28/2019 08:58:16", "content": "Thanks karthik :)
", "rawMarkdown": "Thanks karthik :)", "votes": null } ], "comments": [ { "id": 480112, "author_name": "liamwr17", "author_url": "", "post_date": "02/27/2019 19:43:25", "content": "Congrats on reaching expert! I just started up \"How to Win a Data Science Comp\" and am looking forward to learning some more tips and tricks.
", "votes": null, "replies": [ { "id": 480365, "author_name": "prashanththangavel", "author_url": "", "post_date": "02/28/2019 05:18:35", "content": "Thanks Liam :) The course is very useful.
", "votes": null, "replies": [] } ] }, { "id": 480446, "author_name": "karthik7395", "author_url": "", "post_date": "02/28/2019 07:39:30", "content": "Early Congratulations on becoming competitions expert. @prashanththangavel
", "votes": null, "replies": [ { "id": 480502, "author_name": "prashanththangavel", "author_url": "", "post_date": "02/28/2019 08:58:16", "content": "Thanks karthik :)
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "480078": "Finally! Won my second bronze medal in Kaggle and I am really happy that I will be moving up to the Expert Tier. Kaggle is such a wonderful platform filled with extraordinary and KIND people who are willing to share their knowledge! \n\nFirstly, I would like to thank my teammates, [@prashanth][1] and [@pranav][2] without whom this wouldn't have been possible. You guys are extremely talented and open towards implementing/sharing different kind of ideas.\n\n**My Kaggle Heroes** \nI would like to thank the mentors of \"How To Win a Data Science Competition\" course in coursera which was instrumental in helping me learn minor tricks which I wasn't aware of earlier. [@Mikhail][3] , [@Dmitry][4] , [@KazAnova][5] , [@Alexander][6] and [@Dmitry Ulyanov][7]\n\n[@Olivier][8], [@SRK][9] , [@Kxx][10] , [@Giba][11] , [@Jack][12] , [@Erik][14] - Thanks for the amazing kernels, discussions and ideas which you had shared.\n\n**Few take aways from participating in competitions** \n1) **TRUST THE PROCESS**. Home Credit competition was my personal favorite and I would say that I gave my 200% for this competition compared to all other competitions. (PS : I was destroyed in the Private LB :P). Even though you lose out on the Private LB you are always a winner in gaining knowledge. So it is always a win win situation. Keep trying, be persistent! Remember every Grandmaster was once a novice, so TRUST THE PROCESS and of course trust your CV score as well ;)\n \n2) **RESEARCH AND THEN POST QUESTIONS IN DISCUSSIONS.** I personally like to read about techniques/methods and try it before asking for someone's opinion,by doing so it enables you to understand the topic in depth. \n \n3) **GIVE BACK SOMETHING TO THE COMMUNITY THAT HELPED YOU GROW.** The least you can do is to share some ideas/techniques that others might find in interesting. In addition Kagglers who create kernels spend a lot of time to make it perfect, please up-vote the kernel if you find it useful, by doing so it encourages them to post more kernals. \n\nWill post my pipeline by tomorrow EOD.\n\nCheers\n\n\n [1]: https://www.kaggle.com/prashanth1994\n [2]: https://www.kaggle.com/pranav84\n [3]: https://www.kaggle.com/mikhailtrofimov\n [4]: https://www.kaggle.com/utility\n [5]: https://www.kaggle.com/kazanova\n [6]: https://www.kaggle.com/aguschin\n [7]: https://www.kaggle.com/dulyanov\n [8]: https://www.kaggle.com/ogrellier\n [9]: https://www.kaggle.com/sudalairajkumar\n [10]: https://www.kaggle.com/kailex\n [11]: https://www.kaggle.com/titericz\n [12]: https://www.kaggle.com/rsakata\n [14]: https://www.kaggle.com/erikbruin", "480112": "Congrats on reaching expert! I just started up \"How to Win a Data Science Comp\" and am looking forward to learning some more tips and tricks.", "480365": "Thanks Liam :) The course is very useful.", "480446": "Early Congratulations on becoming competitions expert. @prashanththangavel", "480502": "Thanks karthik :)" }, "source": "meta" }