{
  "id": 43241,
  "title": "Looking for mentor ",
  "url": "/competitions/favorita-grocery-sales-forecasting/discussion/43241",
  "author_name": "",
  "post_date": "2017-11-12T01:05:02.377063300Z",
  "votes": null,
  "comment_count": 5,
  "views": 0,
  "content": "<p>Hi,\nI am a beginner of machine learning and I am taking class at school now. \nI am looking for a mentor who is willing to give me some advise and idea how to start this project.\nThank you</p>",
  "messages": [
    {
      "id": "242572",
      "postDate": "11/12/2017 01:05:02",
      "content": "<p>Hi,\nI am a beginner of machine learning and I am taking class at school now. \nI am looking for a mentor who is willing to give me some advise and idea how to start this project.\nThank you</p>",
      "rawMarkdown": "Hi,\nI am a beginner of machine learning and I am taking class at school now. \nI am looking for a mentor who is willing to give me some advise and idea how to start this project.\nThank you",
      "votes": null
    },
    {
      "id": "242580",
      "postDate": "11/12/2017 01:53:30",
      "content": "<p>Which language are you using? <br>\nI recommend looking at some of the starter kernels. Go for a less complicated one first. Here is a recommendation: <br>\nFor Python: <a href=\"https://www.kaggle.com/ceshine/mean-baseline-lb-59\">https://www.kaggle.com/ceshine/mean-baseline-lb-59</a> <br>\nFor R: <a href=\"https://www.kaggle.com/npa02012/mean-baseline-lb-59-translated-to-r\">https://www.kaggle.com/npa02012/mean-baseline-lb-59-translated-to-r</a></p>",
      "rawMarkdown": "Which language are you using?  \nI recommend looking at some of the starter kernels. Go for a less complicated one first. Here is a recommendation:  \nFor Python: https://www.kaggle.com/ceshine/mean-baseline-lb-59  \nFor R: https://www.kaggle.com/npa02012/mean-baseline-lb-59-translated-to-r",
      "votes": null
    },
    {
      "id": "242581",
      "postDate": "11/12/2017 01:54:33",
      "content": "<p>python </p>",
      "rawMarkdown": "python",
      "votes": null
    },
    {
      "id": "242582",
      "postDate": "11/12/2017 01:54:42",
      "content": "<p>python </p>",
      "rawMarkdown": "python",
      "votes": null
    },
    {
      "id": "242583",
      "postDate": "11/12/2017 01:55:33",
      "content": "<p>This is a course project. I think it is tough for a beginner </p>",
      "rawMarkdown": "This is a course project. I think it is tough for a beginner",
      "votes": null
    },
    {
      "id": "242584",
      "postDate": "11/12/2017 02:09:16",
      "content": "<p>Okay, I can't help much with Python. <br>\nAs I said, take a look at that script. It is pretty straightforward in the following ways: <br>\n- Only uses train.csv and test.csv. <br>\n- Very understandable reasoning behind predictions. <br>\n- No complex ML algorithms used. <br>\n- Comments for each section describing what is going on. <br>\nTry running it on your own and seeing if you can understand what each line of code is doing. <br>\nGood luck!</p>",
      "rawMarkdown": "Okay, I can't help much with Python.  \nAs I said, take a look at that script. It is pretty straightforward in the following ways:  \n- Only uses train.csv and test.csv.  \n- Very understandable reasoning behind predictions.  \n- No complex ML algorithms used.  \n- Comments for each section describing what is going on.  \nTry running it on your own and seeing if you can understand what each line of code is doing.  \nGood luck!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 242580,
      "author_name": "npa02012",
      "author_url": "",
      "post_date": "11/12/2017 01:53:30",
      "content": "<p>Which language are you using? <br>\nI recommend looking at some of the starter kernels. Go for a less complicated one first. Here is a recommendation: <br>\nFor Python: <a href=\"https://www.kaggle.com/ceshine/mean-baseline-lb-59\">https://www.kaggle.com/ceshine/mean-baseline-lb-59</a> <br>\nFor R: <a href=\"https://www.kaggle.com/npa02012/mean-baseline-lb-59-translated-to-r\">https://www.kaggle.com/npa02012/mean-baseline-lb-59-translated-to-r</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 242582,
          "author_name": "lynndai",
          "author_url": "",
          "post_date": "11/12/2017 01:54:42",
          "content": "<p>python </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 242581,
      "author_name": "lynndai",
      "author_url": "",
      "post_date": "11/12/2017 01:54:33",
      "content": "<p>python </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 242583,
      "author_name": "lynndai",
      "author_url": "",
      "post_date": "11/12/2017 01:55:33",
      "content": "<p>This is a course project. I think it is tough for a beginner </p>",
      "votes": null,
      "replies": [
        {
          "id": 242584,
          "author_name": "npa02012",
          "author_url": "",
          "post_date": "11/12/2017 02:09:16",
          "content": "<p>Okay, I can't help much with Python. <br>\nAs I said, take a look at that script. It is pretty straightforward in the following ways: <br>\n- Only uses train.csv and test.csv. <br>\n- Very understandable reasoning behind predictions. <br>\n- No complex ML algorithms used. <br>\n- Comments for each section describing what is going on. <br>\nTry running it on your own and seeing if you can understand what each line of code is doing. <br>\nGood luck!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "242572": "Hi,\nI am a beginner of machine learning and I am taking class at school now. \nI am looking for a mentor who is willing to give me some advise and idea how to start this project.\nThank you",
    "242580": "Which language are you using?  \nI recommend looking at some of the starter kernels. Go for a less complicated one first. Here is a recommendation:  \nFor Python: https://www.kaggle.com/ceshine/mean-baseline-lb-59  \nFor R: https://www.kaggle.com/npa02012/mean-baseline-lb-59-translated-to-r",
    "242581": "python",
    "242582": "python",
    "242583": "This is a course project. I think it is tough for a beginner",
    "242584": "Okay, I can't help much with Python.  \nAs I said, take a look at that script. It is pretty straightforward in the following ways:  \n- Only uses train.csv and test.csv.  \n- Very understandable reasoning behind predictions.  \n- No complex ML algorithms used.  \n- Comments for each section describing what is going on.  \nTry running it on your own and seeing if you can understand what each line of code is doing.  \nGood luck!"
  },
  "source": "meta"
}