{
  "id": 79842,
  "title": "Data Science: Kaggle GRANDMASTER in 6 months? | Pavel Pleskov, Data Nerds",
  "url": "/competitions/quora-insincere-questions-classification/discussion/79842",
  "author_name": "",
  "post_date": "2019-02-07T22:55:24.287278700Z",
  "votes": 3,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Pavel (grandmaster in team currently ranked 1 in this competition), shares his experience and gives advice. Talk here <a href=\"https://www.youtube.com/watch?v=5wMAPUrd0ag\">https://www.youtube.com/watch?v=5wMAPUrd0ag</a></p>\n\n<p>Time tags:</p>\n\n<ol>\n<li>00:27 #1 Background</li>\n<li>02:35 #2 Data science: how you started</li>\n<li>04:45 #3 KAGGLE GRANDMASTER in 6 months. How did you do that?</li>\n<li>07:39 #4 Data science: do you really need lots of math?</li>\n<li>10:30 #5 Data science: hardware</li>\n<li>13:47 #6 Competitions. Team experience</li>\n<li>17:42 #7 KAGGLE GRANDMASTER and Data Science profession</li>\n<li>21:29 #8 Competitions vs real-life work</li>\n<li>23:19 #9 What are you busy with now?</li>\n<li>26:43 #10 How is Data Nerds different from Data Science subsidiaries of McKInsey, Bain, and BCG?</li>\n<li>28:49 #11 Plans to work in the USA?</li>\n<li>30:50 #12 Plans in general</li>\n<li>32:31 #13 Advice</li>\n</ol>\n\n<p>Talk is in Russian if you're English speaker you can see automatically generated subtitles.</p>\n\n<p>Happy Kaggling.</p>",
  "messages": [
    {
      "id": "467895",
      "postDate": "02/07/2019 22:55:24",
      "content": "<p>Pavel (grandmaster in team currently ranked 1 in this competition), shares his experience and gives advice. Talk here <a href=\"https://www.youtube.com/watch?v=5wMAPUrd0ag\">https://www.youtube.com/watch?v=5wMAPUrd0ag</a></p>\n\n<p>Time tags:</p>\n\n<ol>\n<li>00:27 #1 Background</li>\n<li>02:35 #2 Data science: how you started</li>\n<li>04:45 #3 KAGGLE GRANDMASTER in 6 months. How did you do that?</li>\n<li>07:39 #4 Data science: do you really need lots of math?</li>\n<li>10:30 #5 Data science: hardware</li>\n<li>13:47 #6 Competitions. Team experience</li>\n<li>17:42 #7 KAGGLE GRANDMASTER and Data Science profession</li>\n<li>21:29 #8 Competitions vs real-life work</li>\n<li>23:19 #9 What are you busy with now?</li>\n<li>26:43 #10 How is Data Nerds different from Data Science subsidiaries of McKInsey, Bain, and BCG?</li>\n<li>28:49 #11 Plans to work in the USA?</li>\n<li>30:50 #12 Plans in general</li>\n<li>32:31 #13 Advice</li>\n</ol>\n\n<p>Talk is in Russian if you're English speaker you can see automatically generated subtitles.</p>\n\n<p>Happy Kaggling.</p>",
      "rawMarkdown": "Pavel (grandmaster in team currently ranked 1 in this competition), shares his experience and gives advice. Talk here https://www.youtube.com/watch?v=5wMAPUrd0ag\n\nTime tags:\n\n 1. 00:27 #1 Background\n 2. 02:35 #2 Data science: how you started\n 3. 04:45 #3 KAGGLE GRANDMASTER in 6 months. How did you do that?\n 4. 07:39 #4 Data science: do you really need lots of math?\n 5. 10:30 #5 Data science: hardware\n 6. 13:47 #6 Competitions. Team experience\n 7. 17:42 #7 KAGGLE GRANDMASTER and Data Science profession\n 8. 21:29 #8 Competitions vs real-life work\n 9. 23:19 #9 What are you busy with now?\n 10. 26:43 #10 How is Data Nerds different from Data Science subsidiaries of McKInsey, Bain, and BCG?\n 11. 28:49 #11 Plans to work in the USA?\n 12. 30:50 #12 Plans in general\n 13. 32:31 #13 Advice\n\nTalk is in Russian if you're English speaker you can see automatically generated subtitles.\n\nHappy Kaggling.",
      "votes": null
    },
    {
      "id": "467943",
      "postDate": "02/08/2019 02:21:38",
      "content": "<p>In the same spirit, you can also learn from Bestfitting's interview on how to improve / plan yourself on kaggle.\n<a href=\"http://blog.kaggle.com/2018/05/07/profiling-top-kagglers-bestfitting-currently-1-in-the-world/\">http://blog.kaggle.com/2018/05/07/profiling-top-kagglers-bestfitting-currently-1-in-the-world/</a></p>",
      "rawMarkdown": "In the same spirit, you can also learn from Bestfitting's interview on how to improve / plan yourself on kaggle.\nhttp://blog.kaggle.com/2018/05/07/profiling-top-kagglers-bestfitting-currently-1-in-the-world/",
      "votes": null
    },
    {
      "id": "472435",
      "postDate": "02/15/2019 22:51:58",
      "content": "<p>Thanks for sharing!</p>",
      "rawMarkdown": "Thanks for sharing!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 467943,
      "author_name": "ratthachat",
      "author_url": "",
      "post_date": "02/08/2019 02:21:38",
      "content": "<p>In the same spirit, you can also learn from Bestfitting's interview on how to improve / plan yourself on kaggle.\n<a href=\"http://blog.kaggle.com/2018/05/07/profiling-top-kagglers-bestfitting-currently-1-in-the-world/\">http://blog.kaggle.com/2018/05/07/profiling-top-kagglers-bestfitting-currently-1-in-the-world/</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 472435,
      "author_name": "amberyesohyes",
      "author_url": "",
      "post_date": "02/15/2019 22:51:58",
      "content": "<p>Thanks for sharing!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "467895": "Pavel (grandmaster in team currently ranked 1 in this competition), shares his experience and gives advice. Talk here https://www.youtube.com/watch?v=5wMAPUrd0ag\n\nTime tags:\n\n 1. 00:27 #1 Background\n 2. 02:35 #2 Data science: how you started\n 3. 04:45 #3 KAGGLE GRANDMASTER in 6 months. How did you do that?\n 4. 07:39 #4 Data science: do you really need lots of math?\n 5. 10:30 #5 Data science: hardware\n 6. 13:47 #6 Competitions. Team experience\n 7. 17:42 #7 KAGGLE GRANDMASTER and Data Science profession\n 8. 21:29 #8 Competitions vs real-life work\n 9. 23:19 #9 What are you busy with now?\n 10. 26:43 #10 How is Data Nerds different from Data Science subsidiaries of McKInsey, Bain, and BCG?\n 11. 28:49 #11 Plans to work in the USA?\n 12. 30:50 #12 Plans in general\n 13. 32:31 #13 Advice\n\nTalk is in Russian if you're English speaker you can see automatically generated subtitles.\n\nHappy Kaggling.",
    "467943": "In the same spirit, you can also learn from Bestfitting's interview on how to improve / plan yourself on kaggle.\nhttp://blog.kaggle.com/2018/05/07/profiling-top-kagglers-bestfitting-currently-1-in-the-world/",
    "472435": "Thanks for sharing!"
  },
  "source": "meta"
}