{
  "id": 252877,
  "title": "New to Machine Learning or Kaggle?",
  "url": "/competitions/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/252877",
  "author_name": "Julia Elliott",
  "post_date": "2021-07-14T03:51:29.259000",
  "votes": 30,
  "comment_count": 21,
  "views": 0,
  "content": "<p>New to machine learning and data science? No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with! </p>\n<p>If you would consider yourself a beginner but don't know where to get started, let other Kagglers help you take your first steps here!</p>\n<p>New to Kaggle? Take a look at a few videos to learn a bit more about <a href=\"https://www.youtube.com/watch?v=aIus8si_Et0\" target=\"_blank\">site etiquette</a>, <a href=\"https://www.youtube.com/watch?v=sEJHyuWKd-s\" target=\"_blank\">Kaggle lingo</a>, and <a href=\"https://www.youtube.com/watch?&amp;v=GJBOMWpLpTQ\" target=\"_blank\">how to enter a competition using Kaggle Notebooks</a>.</p>\n<p>Ready to dive into this competition? Review the <a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/overview\" target=\"_blank\">Overview Description</a> and start to work with the <a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/data\" target=\"_blank\">Data</a>!</p>\n<blockquote>\n  <p><strong>Remember</strong>: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our <a href=\"https://www.kaggle.com/community-guidelines\" target=\"_blank\">Kaggle community guidelines</a>.</p>\n</blockquote>",
  "messages": [
    {
      "id": 1387235,
      "postDate": "2021-07-14T03:51:29.260Z",
      "content": "<p>New to machine learning and data science? No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with! </p>\n<p>If you would consider yourself a beginner but don't know where to get started, let other Kagglers help you take your first steps here!</p>\n<p>New to Kaggle? Take a look at a few videos to learn a bit more about <a href=\"https://www.youtube.com/watch?v=aIus8si_Et0\" target=\"_blank\">site etiquette</a>, <a href=\"https://www.youtube.com/watch?v=sEJHyuWKd-s\" target=\"_blank\">Kaggle lingo</a>, and <a href=\"https://www.youtube.com/watch?&amp;v=GJBOMWpLpTQ\" target=\"_blank\">how to enter a competition using Kaggle Notebooks</a>.</p>\n<p>Ready to dive into this competition? Review the <a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/overview\" target=\"_blank\">Overview Description</a> and start to work with the <a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/data\" target=\"_blank\">Data</a>!</p>\n<blockquote>\n  <p><strong>Remember</strong>: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our <a href=\"https://www.kaggle.com/community-guidelines\" target=\"_blank\">Kaggle community guidelines</a>.</p>\n</blockquote>",
      "rawMarkdown": "New to machine learning and data science? No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with! \n\nIf you would consider yourself a beginner but don't know where to get started, let other Kagglers help you take your first steps here!\n\nNew to Kaggle? Take a look at a few videos to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s), and [how to enter a competition using Kaggle Notebooks](https://www.youtube.com/watch?&amp;v=GJBOMWpLpTQ).\n\nReady to dive into this competition? Review the [Overview Description](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/overview) and start to work with the [Data](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/data)!\n\n> **Remember**: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our [Kaggle community guidelines](https://www.kaggle.com/community-guidelines).",
      "votes": 30
    },
    {
      "id": 1518881,
      "postDate": "2021-09-21T06:56:43.987Z",
      "content": "<p>Hello, myself Yash Shimpi, a sophomore at IIT BHU, India and exploring the field of Artificial Intelligence and Machine Learning.</p>",
      "rawMarkdown": "Hello, myself Yash Shimpi, a sophomore at IIT BHU, India and exploring the field of Artificial Intelligence and Machine Learning.",
      "votes": 1
    },
    {
      "id": 1388597,
      "postDate": "2021-07-15T05:19:35.323Z",
      "content": "<p>Hello, I have 13 years of professional experience in diverse set of industry including Fin-Tech, BPO and Telecommunication. My current position is Head of Call Center, beside my regular job I started learning Data Science, since then I have completed course on Data Science from Udemy, World Quant University, Dataquest and Udacity. I am familiar with Linear Regression, Logistic Regression, Cross Validation, K Means Clustering, Principal Component Analysis, Decision Trees and Random Forest, Recommender system, Natural Language Processing, Neural nets and Deep Learning. I have completed guided project but did not do any project independently. I was looking for learning but not for money or prize. I am interested to learn from you by working in this project together. It would be highly appreciated if you would give me a chance to learn under your guidance. Thanks.</p>",
      "rawMarkdown": "Hello, I have 13 years of professional experience in diverse set of industry including Fin-Tech, BPO and Telecommunication. My current position is Head of Call Center, beside my regular job I started learning Data Science, since then I have completed course on Data Science from Udemy, World Quant University, Dataquest and Udacity. I am familiar with Linear Regression, Logistic Regression, Cross Validation, K Means Clustering, Principal Component Analysis, Decision Trees and Random Forest, Recommender system, Natural Language Processing, Neural nets and Deep Learning. I have completed guided project but did not do any project independently. I was looking for learning but not for money or prize. I am interested to learn from you by working in this project together. It would be highly appreciated if you would give me a chance to learn under your guidance. Thanks.",
      "votes": 1,
      "replies": [
        {
          "id": 1391071,
          "postDate": "2021-07-17T08:58:02.007Z",
          "rawMarkdown": "",
          "isDeleted": true
        }
      ]
    },
    {
      "id": 1387722,
      "postDate": "2021-07-14T11:42:31.510Z",
      "content": "<p>I'm new to kaggle I want to contribute in helping &amp; developing the modern healthcare technologies and advanced research</p>",
      "rawMarkdown": "I'm new to kaggle I want to contribute in helping & developing the modern healthcare technologies and advanced research",
      "votes": 1
    },
    {
      "id": 1397256,
      "postDate": "2021-07-23T01:53:40.607Z",
      "content": "<p>Hello! I'm a rising sophomore in college majoring in Computer Engineering. I want to specialize in data science and deep learning and I hope Kaggle will help me get started. Thank you!</p>",
      "rawMarkdown": "Hello! I'm a rising sophomore in college majoring in Computer Engineering. I want to specialize in data science and deep learning and I hope Kaggle will help me get started. Thank you!",
      "votes": 2
    },
    {
      "id": 2600699,
      "postDate": "2024-01-13T19:36:08.527Z",
      "content": "<p>hello everyone i want to do binary classification this dataset with approach combenition of deep neural network and metaheuristic algorithms.do u have any suggestion for me how to do this with very high accuracy?</p>",
      "rawMarkdown": "hello everyone i want to do binary classification this dataset with approach combenition of deep neural network and metaheuristic algorithms.do u have any suggestion for me how to do this with very high accuracy?\n"
    },
    {
      "id": 2482662,
      "postDate": "2023-10-15T07:52:08.323Z",
      "content": "<p>This article was really helpful, thanks!</p>",
      "rawMarkdown": "This article was really helpful, thanks!"
    },
    {
      "id": 2076481,
      "postDate": "2022-12-26T14:53:26.343Z",
      "content": "<p>Hey, this is Krish Rana, IIT Palakkad, India. Newbie to Machine Learning, great to be here</p>",
      "rawMarkdown": "Hey, this is Krish Rana, IIT Palakkad, India. Newbie to Machine Learning, great to be here"
    },
    {
      "id": 2067935,
      "postDate": "2022-12-17T10:45:25.823Z",
      "content": "<p>Hello, myself Bhavya Jain, a 4th-year student at IIT BHU, India, and I'm exploring the field of Artificial Intelligence and Machine Learning.</p>",
      "rawMarkdown": "Hello, myself Bhavya Jain, a 4th-year student at IIT BHU, India, and I'm exploring the field of Artificial Intelligence and Machine Learning."
    },
    {
      "id": 1531236,
      "postDate": "2021-10-01T18:45:53.683Z",
      "content": "<p>Hey -- still pretty new to kaggle --  My latest entry got a \"Notebook Exceeded Allowed Compute\" but when I looked at the notebook it seemed like it ran to completion… does that mean that when it privately re-ran with the full dataset it exceeded compute?</p>",
      "rawMarkdown": "Hey -- still pretty new to kaggle --  My latest entry got a \"Notebook Exceeded Allowed Compute\" but when I looked at the notebook it seemed like it ran to completion... does that mean that when it privately re-ran with the full dataset it exceeded compute?"
    },
    {
      "id": 1519891,
      "postDate": "2021-09-22T02:51:54.210Z",
      "content": "<p>I'm sorry to ask. According to kaggle's competition rules, can we get the test dataset annotation after the competition completed?</p>",
      "rawMarkdown": "I'm sorry to ask. According to kaggle's competition rules, can we get the test dataset annotation after the competition completed?"
    },
    {
      "id": 1489706,
      "postDate": "2021-08-25T07:51:19.913Z",
      "content": "<p>Hi, thank you so much for preparing the place where beginners like me can ask some questions.</p>\n<p>In code requirement of this competition, it says</p>\n<ul>\n<li>CPU Notebook &lt;= 9 hours run-time</li>\n<li>GPU Notebook &lt;= 9 hours run-time</li>\n</ul>\n<p>Do I have to meet both of the requirements, or at least one of them?<br>\ni.e. Is it okay as long as the run-time is less than 9 hours with GPU, or does it have to be less than 9 hours without GPU as well?</p>\n<p>Thanks in advance.</p>",
      "rawMarkdown": "Hi, thank you so much for preparing the place where beginners like me can ask some questions.\n\nIn code requirement of this competition, it says\n- CPU Notebook <= 9 hours run-time\n- GPU Notebook <= 9 hours run-time\n\nDo I have to meet both of the requirements, or at least one of them?\ni.e. Is it okay as long as the run-time is less than 9 hours with GPU, or does it have to be less than 9 hours without GPU as well?\n\nThanks in advance.",
      "replies": [
        {
          "id": 1492495,
          "postDate": "2021-08-27T07:57:57.663Z",
          "content": "<p><a href=\"https://www.kaggle.com/kazuki1450\" target=\"_blank\">@kazuki1450</a> in any case you would be using either CPU or GPU </p>\n<p>So it is mandatory to obey the corresponding rule based on which hardware you are selecting for notebook</p>",
          "rawMarkdown": "@kazuki1450 in any case you would be using either CPU or GPU \n\nSo it is mandatory to obey the corresponding rule based on which hardware you are selecting for notebook",
          "votes": 1
        },
        {
          "id": 1492579,
          "postDate": "2021-08-27T09:21:32.810Z",
          "content": "<p><a href=\"https://www.kaggle.com/sj161199\" target=\"_blank\">@sj161199</a> Thank you so much!<br>\nSo you mean, if I select using GPU for my notebook, it's okay as long as it works within 9 hours with GPU, and doesn't have to be so without GPU.<br>\nYour answer helped me a lot. Thanks again!</p>",
          "rawMarkdown": "@sj161199 Thank you so much!\nSo you mean, if I select using GPU for my notebook, it's okay as long as it works within 9 hours with GPU, and doesn't have to be so without GPU.\nYour answer helped me a lot. Thanks again!",
          "votes": 1
        }
      ]
    },
    {
      "id": 1483162,
      "postDate": "2021-08-20T13:31:36.173Z",
      "content": "<p>Is there a different, train set during submission or is only the test set changed?</p>",
      "rawMarkdown": "Is there a different, train set during submission or is only the test set changed?"
    },
    {
      "id": 1474082,
      "postDate": "2021-08-15T22:38:29.083Z",
      "content": "<p>I have a question: Where can I see if manual image markup is allowed?</p>",
      "rawMarkdown": "I have a question: Where can I see if manual image markup is allowed?"
    },
    {
      "id": 1470045,
      "postDate": "2021-08-13T08:54:03.730Z",
      "content": "<p>Hello. I have little experience and I would like to know: is it possible to use the BraTS 2019, 2020 data and, if possible, under what conditions?</p>",
      "rawMarkdown": "Hello. I have little experience and I would like to know: is it possible to use the BraTS 2019, 2020 data and, if possible, under what conditions?"
    },
    {
      "id": 1461603,
      "postDate": "2021-08-09T13:35:06.230Z",
      "content": "<p>I'm new here. This article was really helpful, thanks!</p>",
      "rawMarkdown": "I'm new here. This article was really helpful, thanks!\n"
    },
    {
      "id": 1461057,
      "postDate": "2021-08-09T07:35:22.193Z",
      "content": "<p>Hi, I'm new to medical Imaging challenge. Any good introductory book on MRI and Gene. So we can wrap up?</p>",
      "rawMarkdown": "Hi, I'm new to medical Imaging challenge. Any good introductory book on MRI and Gene. So we can wrap up?",
      "replies": [
        {
          "id": 1484573,
          "postDate": "2021-08-21T12:42:55.960Z",
          "content": "<p>Hi,</p>\n<p>Refer to \" <a href=\"https://www.sciencedirect.com/science/article/pii/S1319157820305802\" target=\"_blank\">https://www.sciencedirect.com/science/article/pii/S1319157820305802</a> \". It may not be what you are looking for. But it has fair bit info for this project </p>",
          "rawMarkdown": "Hi,\n\nRefer to \" https://www.sciencedirect.com/science/article/pii/S1319157820305802 \". It may not be what you are looking for. But it has fair bit info for this project "
        }
      ]
    },
    {
      "id": 1535206,
      "postDate": "2021-10-05T15:08:03.477Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 1518881,
      "author_name": "Yash Shimpi",
      "author_url": "",
      "post_date": "2021-09-21T06:56:43.987000",
      "content": "<p>Hello, myself Yash Shimpi, a sophomore at IIT BHU, India and exploring the field of Artificial Intelligence and Machine Learning.</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 1388597,
      "author_name": "Abdul Kader",
      "author_url": "",
      "post_date": "2021-07-15T05:19:35.323000",
      "content": "<p>Hello, I have 13 years of professional experience in diverse set of industry including Fin-Tech, BPO and Telecommunication. My current position is Head of Call Center, beside my regular job I started learning Data Science, since then I have completed course on Data Science from Udemy, World Quant University, Dataquest and Udacity. I am familiar with Linear Regression, Logistic Regression, Cross Validation, K Means Clustering, Principal Component Analysis, Decision Trees and Random Forest, Recommender system, Natural Language Processing, Neural nets and Deep Learning. I have completed guided project but did not do any project independently. I was looking for learning but not for money or prize. I am interested to learn from you by working in this project together. It would be highly appreciated if you would give me a chance to learn under your guidance. Thanks.</p>",
      "votes": 1,
      "replies": [
        {
          "id": 1391071,
          "author_name": "",
          "author_url": "",
          "post_date": "2021-07-17T08:58:02.007000",
          "content": "",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 1387722,
      "author_name": "LoneWolf",
      "author_url": "",
      "post_date": "2021-07-14T11:42:31.510000",
      "content": "<p>I'm new to kaggle I want to contribute in helping &amp; developing the modern healthcare technologies and advanced research</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 1397256,
      "author_name": "Helen Mah",
      "author_url": "",
      "post_date": "2021-07-23T01:53:40.607000",
      "content": "<p>Hello! I'm a rising sophomore in college majoring in Computer Engineering. I want to specialize in data science and deep learning and I hope Kaggle will help me get started. Thank you!</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 2600699,
      "author_name": "Najmeh Nazari",
      "author_url": "",
      "post_date": "2024-01-13T19:36:08.527000",
      "content": "<p>hello everyone i want to do binary classification this dataset with approach combenition of deep neural network and metaheuristic algorithms.do u have any suggestion for me how to do this with very high accuracy?</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2482662,
      "author_name": "Nikita Mishin",
      "author_url": "",
      "post_date": "2023-10-15T07:52:08.323000",
      "content": "<p>This article was really helpful, thanks!</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2076481,
      "author_name": "Krish Rana",
      "author_url": "",
      "post_date": "2022-12-26T14:53:26.343000",
      "content": "<p>Hey, this is Krish Rana, IIT Palakkad, India. Newbie to Machine Learning, great to be here</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2067935,
      "author_name": "Bhavya Jain",
      "author_url": "",
      "post_date": "2022-12-17T10:45:25.823000",
      "content": "<p>Hello, myself Bhavya Jain, a 4th-year student at IIT BHU, India, and I'm exploring the field of Artificial Intelligence and Machine Learning.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1531236,
      "author_name": "Sarah",
      "author_url": "",
      "post_date": "2021-10-01T18:45:53.683000",
      "content": "<p>Hey -- still pretty new to kaggle --  My latest entry got a \"Notebook Exceeded Allowed Compute\" but when I looked at the notebook it seemed like it ran to completion… does that mean that when it privately re-ran with the full dataset it exceeded compute?</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1519891,
      "author_name": "hanjin",
      "author_url": "",
      "post_date": "2021-09-22T02:51:54.210000",
      "content": "<p>I'm sorry to ask. According to kaggle's competition rules, can we get the test dataset annotation after the competition completed?</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1489706,
      "author_name": "Kazuki1450",
      "author_url": "",
      "post_date": "2021-08-25T07:51:19.913000",
      "content": "<p>Hi, thank you so much for preparing the place where beginners like me can ask some questions.</p>\n<p>In code requirement of this competition, it says</p>\n<ul>\n<li>CPU Notebook &lt;= 9 hours run-time</li>\n<li>GPU Notebook &lt;= 9 hours run-time</li>\n</ul>\n<p>Do I have to meet both of the requirements, or at least one of them?<br>\ni.e. Is it okay as long as the run-time is less than 9 hours with GPU, or does it have to be less than 9 hours without GPU as well?</p>\n<p>Thanks in advance.</p>",
      "votes": 0,
      "replies": [
        {
          "id": 1492495,
          "author_name": "Shrijeet16",
          "author_url": "",
          "post_date": "2021-08-27T07:57:57.663000",
          "content": "<p><a href=\"https://www.kaggle.com/kazuki1450\" target=\"_blank\">@kazuki1450</a> in any case you would be using either CPU or GPU </p>\n<p>So it is mandatory to obey the corresponding rule based on which hardware you are selecting for notebook</p>",
          "votes": 1,
          "replies": []
        },
        {
          "id": 1492579,
          "author_name": "Kazuki1450",
          "author_url": "",
          "post_date": "2021-08-27T09:21:32.810000",
          "content": "<p><a href=\"https://www.kaggle.com/sj161199\" target=\"_blank\">@sj161199</a> Thank you so much!<br>\nSo you mean, if I select using GPU for my notebook, it's okay as long as it works within 9 hours with GPU, and doesn't have to be so without GPU.<br>\nYour answer helped me a lot. Thanks again!</p>",
          "votes": 1,
          "replies": []
        }
      ]
    },
    {
      "id": 1483162,
      "author_name": "Marcus Rose",
      "author_url": "",
      "post_date": "2021-08-20T13:31:36.173000",
      "content": "<p>Is there a different, train set during submission or is only the test set changed?</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1474082,
      "author_name": "Zaakcii Ru",
      "author_url": "",
      "post_date": "2021-08-15T22:38:29.083000",
      "content": "<p>I have a question: Where can I see if manual image markup is allowed?</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1470045,
      "author_name": "Zaakcii Ru",
      "author_url": "",
      "post_date": "2021-08-13T08:54:03.730000",
      "content": "<p>Hello. I have little experience and I would like to know: is it possible to use the BraTS 2019, 2020 data and, if possible, under what conditions?</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1461603,
      "author_name": "Nikith M",
      "author_url": "",
      "post_date": "2021-08-09T13:35:06.230000",
      "content": "<p>I'm new here. This article was really helpful, thanks!</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1461057,
      "author_name": "artificial_idiot",
      "author_url": "",
      "post_date": "2021-08-09T07:35:22.193000",
      "content": "<p>Hi, I'm new to medical Imaging challenge. Any good introductory book on MRI and Gene. So we can wrap up?</p>",
      "votes": 0,
      "replies": [
        {
          "id": 1484573,
          "author_name": "Manjunath N S",
          "author_url": "",
          "post_date": "2021-08-21T12:42:55.960000",
          "content": "<p>Hi,</p>\n<p>Refer to \" <a href=\"https://www.sciencedirect.com/science/article/pii/S1319157820305802\" target=\"_blank\">https://www.sciencedirect.com/science/article/pii/S1319157820305802</a> \". It may not be what you are looking for. But it has fair bit info for this project </p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 1535206,
      "author_name": "",
      "author_url": "",
      "post_date": "2021-10-05T15:08:03.477000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1387235": "New to machine learning and data science? No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with! \n\nIf you would consider yourself a beginner but don't know where to get started, let other Kagglers help you take your first steps here!\n\nNew to Kaggle? Take a look at a few videos to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s), and [how to enter a competition using Kaggle Notebooks](https://www.youtube.com/watch?&amp;v=GJBOMWpLpTQ).\n\nReady to dive into this competition? Review the [Overview Description](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/overview) and start to work with the [Data](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/data)!\n\n> **Remember**: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our [Kaggle community guidelines](https://www.kaggle.com/community-guidelines).",
    "1518881": "Hello, myself Yash Shimpi, a sophomore at IIT BHU, India and exploring the field of Artificial Intelligence and Machine Learning.",
    "1388597": "Hello, I have 13 years of professional experience in diverse set of industry including Fin-Tech, BPO and Telecommunication. My current position is Head of Call Center, beside my regular job I started learning Data Science, since then I have completed course on Data Science from Udemy, World Quant University, Dataquest and Udacity. I am familiar with Linear Regression, Logistic Regression, Cross Validation, K Means Clustering, Principal Component Analysis, Decision Trees and Random Forest, Recommender system, Natural Language Processing, Neural nets and Deep Learning. I have completed guided project but did not do any project independently. I was looking for learning but not for money or prize. I am interested to learn from you by working in this project together. It would be highly appreciated if you would give me a chance to learn under your guidance. Thanks.",
    "1387722": "I'm new to kaggle I want to contribute in helping & developing the modern healthcare technologies and advanced research",
    "1397256": "Hello! I'm a rising sophomore in college majoring in Computer Engineering. I want to specialize in data science and deep learning and I hope Kaggle will help me get started. Thank you!",
    "2600699": "hello everyone i want to do binary classification this dataset with approach combenition of deep neural network and metaheuristic algorithms.do u have any suggestion for me how to do this with very high accuracy?\n",
    "2482662": "This article was really helpful, thanks!",
    "2076481": "Hey, this is Krish Rana, IIT Palakkad, India. Newbie to Machine Learning, great to be here",
    "2067935": "Hello, myself Bhavya Jain, a 4th-year student at IIT BHU, India, and I'm exploring the field of Artificial Intelligence and Machine Learning.",
    "1531236": "Hey -- still pretty new to kaggle --  My latest entry got a \"Notebook Exceeded Allowed Compute\" but when I looked at the notebook it seemed like it ran to completion... does that mean that when it privately re-ran with the full dataset it exceeded compute?",
    "1519891": "I'm sorry to ask. According to kaggle's competition rules, can we get the test dataset annotation after the competition completed?",
    "1489706": "Hi, thank you so much for preparing the place where beginners like me can ask some questions.\n\nIn code requirement of this competition, it says\n- CPU Notebook <= 9 hours run-time\n- GPU Notebook <= 9 hours run-time\n\nDo I have to meet both of the requirements, or at least one of them?\ni.e. Is it okay as long as the run-time is less than 9 hours with GPU, or does it have to be less than 9 hours without GPU as well?\n\nThanks in advance.",
    "1483162": "Is there a different, train set during submission or is only the test set changed?",
    "1474082": "I have a question: Where can I see if manual image markup is allowed?",
    "1470045": "Hello. I have little experience and I would like to know: is it possible to use the BraTS 2019, 2020 data and, if possible, under what conditions?",
    "1461603": "I'm new here. This article was really helpful, thanks!\n",
    "1461057": "Hi, I'm new to medical Imaging challenge. Any good introductory book on MRI and Gene. So we can wrap up?",
    "1535206": ""
  }
}