{
  "id": 324662,
  "title": "New to Kaggle - looking to team up!",
  "url": "/competitions/digit-recognizer/discussion/324662",
  "author_name": "Rosie Velikova",
  "post_date": "2022-05-12T15:19:47.584000",
  "votes": 2,
  "comment_count": 4,
  "views": null,
  "content": "<p>Hi everyone, I am new to Kaggle and have still not entered a competition just because I do not know where to start. I am currently studying MSc in Computer Science with Data Science while also working full time :) <br>\nWe have covered the ML module as part of the course and have trained a CNN on the MNIST dataset using Keras but I would like to now try and achieve better results myself or as a part of a team. Please let me know if interested in guiding me or just going through this first steps on Kaggle with me. I will really appreciate it. </p>",
  "messages": [
    {
      "id": 1786051,
      "postDate": "2022-05-12T15:19:47.583Z",
      "content": "<p>Hi everyone, I am new to Kaggle and have still not entered a competition just because I do not know where to start. I am currently studying MSc in Computer Science with Data Science while also working full time :) <br>\nWe have covered the ML module as part of the course and have trained a CNN on the MNIST dataset using Keras but I would like to now try and achieve better results myself or as a part of a team. Please let me know if interested in guiding me or just going through this first steps on Kaggle with me. I will really appreciate it. </p>",
      "rawMarkdown": "Hi everyone, I am new to Kaggle and have still not entered a competition just because I do not know where to start. I am currently studying MSc in Computer Science with Data Science while also working full time :) \nWe have covered the ML module as part of the course and have trained a CNN on the MNIST dataset using Keras but I would like to now try and achieve better results myself or as a part of a team. Please let me know if interested in guiding me or just going through this first steps on Kaggle with me. I will really appreciate it. \n",
      "votes": 2
    },
    {
      "id": 1989598,
      "postDate": "2022-10-16T05:04:27.353Z",
      "content": "<p>Try Exploring kaggle.</p>",
      "rawMarkdown": "Try Exploring kaggle.",
      "votes": 1
    },
    {
      "id": 1839809,
      "postDate": "2022-07-01T17:50:30.847Z",
      "content": "<p><a href=\"https://www.kaggle.com/rosievelikova\" target=\"_blank\">@rosievelikova</a> I would suggest you to brush up on this resource<a href=\"url\" target=\"_blank\">https://www.kaggle.com/learn/intro-to-deep-learning</a>. I just did and submitted my own work based on the learnings. We could even team up and improve upon the models as we go along.</p>",
      "rawMarkdown": "@rosievelikova I would suggest you to brush up on this resource[https://www.kaggle.com/learn/intro-to-deep-learning](url). I just did and submitted my own work based on the learnings. We could even team up and improve upon the models as we go along."
    },
    {
      "id": 1806223,
      "postDate": "2022-05-30T23:07:41.403Z",
      "content": "<p>How'd it go? I'm just starting out with this project.</p>",
      "rawMarkdown": "How'd it go? I'm just starting out with this project."
    },
    {
      "id": 1912280,
      "postDate": "2022-08-24T16:11:06.097Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 1989598,
      "author_name": "Pranay Joshi",
      "author_url": "",
      "post_date": "2022-10-16T05:04:27.353000",
      "content": "<p>Try Exploring kaggle.</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 1839809,
      "author_name": "Sandy",
      "author_url": "",
      "post_date": "2022-07-01T17:50:30.847000",
      "content": "<p><a href=\"https://www.kaggle.com/rosievelikova\" target=\"_blank\">@rosievelikova</a> I would suggest you to brush up on this resource<a href=\"url\" target=\"_blank\">https://www.kaggle.com/learn/intro-to-deep-learning</a>. I just did and submitted my own work based on the learnings. We could even team up and improve upon the models as we go along.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1806223,
      "author_name": "dana sharon",
      "author_url": "",
      "post_date": "2022-05-30T23:07:41.403000",
      "content": "<p>How'd it go? I'm just starting out with this project.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1912280,
      "author_name": "",
      "author_url": "",
      "post_date": "2022-08-24T16:11:06.097000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1786051": "Hi everyone, I am new to Kaggle and have still not entered a competition just because I do not know where to start. I am currently studying MSc in Computer Science with Data Science while also working full time :) \nWe have covered the ML module as part of the course and have trained a CNN on the MNIST dataset using Keras but I would like to now try and achieve better results myself or as a part of a team. Please let me know if interested in guiding me or just going through this first steps on Kaggle with me. I will really appreciate it. \n",
    "1989598": "Try Exploring kaggle.",
    "1839809": "@rosievelikova I would suggest you to brush up on this resource[https://www.kaggle.com/learn/intro-to-deep-learning](url). I just did and submitted my own work based on the learnings. We could even team up and improve upon the models as we go along.",
    "1806223": "How'd it go? I'm just starting out with this project.",
    "1912280": ""
  }
}