{
  "id": 327135,
  "title": "Articles, Research Papers and Methodologies ",
  "url": "/competitions/amex-default-prediction/discussion/327135",
  "author_name": "",
  "post_date": "2022-05-25T19:10:46.887460500Z",
  "votes": 59,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I will be regularly updating this thread as and when I come across something interesting pertaining to this competition.</p>\n<p><strong>Articles</strong></p>\n<ul>\n<li><a href=\"https://www.moodysanalytics.com/risk-perspectives-magazine/managing-disruption/spotlight/machine-learning-challenges-lessons-and-opportunities-in-credit-risk-modeling\" target=\"_blank\">Machine Learning: Challenges, Lessons, and Opportunities in Credit Risk Modeling</a></li>\n<li><a href=\"https://towardsdatascience.com/credit-risk-modeling-with-machine-learning-8c8a2657b4c4\" target=\"_blank\">Credit Risk Modeling with Machine Learning</a></li>\n</ul>\n<p><strong>Research Papers</strong></p>\n<ul>\n<li><a href=\"https://journalofbigdata.springeropen.com/articles/10.1186/s40537-021-00461-7\" target=\"_blank\">Modelling customers credit card behaviour using bidirectional LSTM neural networks</a></li>\n<li><a href=\"https://www.hindawi.com/journals/complexity/2021/6618841/\" target=\"_blank\">Research on Credit Card Default Prediction Based on k-Means SMOTE and BP Neural Network</a></li>\n</ul>\n<p><img src=\"https://i.imgur.com/r8epsI7.png\" alt=\"\"></p>",
  "messages": [
    {
      "id": "1801454",
      "postDate": "05/25/2022 19:10:46",
      "content": "<p>I will be regularly updating this thread as and when I come across something interesting pertaining to this competition.</p>\n<p><strong>Articles</strong></p>\n<ul>\n<li><a href=\"https://www.moodysanalytics.com/risk-perspectives-magazine/managing-disruption/spotlight/machine-learning-challenges-lessons-and-opportunities-in-credit-risk-modeling\" target=\"_blank\">Machine Learning: Challenges, Lessons, and Opportunities in Credit Risk Modeling</a></li>\n<li><a href=\"https://towardsdatascience.com/credit-risk-modeling-with-machine-learning-8c8a2657b4c4\" target=\"_blank\">Credit Risk Modeling with Machine Learning</a></li>\n</ul>\n<p><strong>Research Papers</strong></p>\n<ul>\n<li><a href=\"https://journalofbigdata.springeropen.com/articles/10.1186/s40537-021-00461-7\" target=\"_blank\">Modelling customers credit card behaviour using bidirectional LSTM neural networks</a></li>\n<li><a href=\"https://www.hindawi.com/journals/complexity/2021/6618841/\" target=\"_blank\">Research on Credit Card Default Prediction Based on k-Means SMOTE and BP Neural Network</a></li>\n</ul>\n<p><img src=\"https://i.imgur.com/r8epsI7.png\" alt=\"\"></p>",
      "rawMarkdown": "I will be regularly updating this thread as and when I come across something interesting pertaining to this competition.\n\n**Articles**\n- [Machine Learning: Challenges, Lessons, and Opportunities in Credit Risk Modeling](https://www.moodysanalytics.com/risk-perspectives-magazine/managing-disruption/spotlight/machine-learning-challenges-lessons-and-opportunities-in-credit-risk-modeling)\n- [Credit Risk Modeling with Machine Learning](https://towardsdatascience.com/credit-risk-modeling-with-machine-learning-8c8a2657b4c4)\n\n**Research Papers**\n- [Modelling customers credit card behaviour using bidirectional LSTM neural networks](https://journalofbigdata.springeropen.com/articles/10.1186/s40537-021-00461-7)\n- [Research on Credit Card Default Prediction Based on k-Means SMOTE and BP Neural Network](https://www.hindawi.com/journals/complexity/2021/6618841/)\n\n![](https://i.imgur.com/r8epsI7.png)",
      "votes": null
    },
    {
      "id": "1801501",
      "postDate": "05/25/2022 20:00:55",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/ruchi798\" target=\"_blank\">@ruchi798</a>. Good as always. </p>",
      "rawMarkdown": "Thanks for sharing @ruchi798. Good as always.",
      "votes": null
    },
    {
      "id": "1806752",
      "postDate": "05/31/2022 12:46:31",
      "content": "<p>Great stuff!</p>",
      "rawMarkdown": "Great stuff!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1801501,
      "author_name": "muhammedtausif",
      "author_url": "",
      "post_date": "05/25/2022 20:00:55",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/ruchi798\" target=\"_blank\">@ruchi798</a>. Good as always. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1806752,
      "author_name": "wuuthraad",
      "author_url": "",
      "post_date": "05/31/2022 12:46:31",
      "content": "<p>Great stuff!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1801454": "I will be regularly updating this thread as and when I come across something interesting pertaining to this competition.\n\n**Articles**\n- [Machine Learning: Challenges, Lessons, and Opportunities in Credit Risk Modeling](https://www.moodysanalytics.com/risk-perspectives-magazine/managing-disruption/spotlight/machine-learning-challenges-lessons-and-opportunities-in-credit-risk-modeling)\n- [Credit Risk Modeling with Machine Learning](https://towardsdatascience.com/credit-risk-modeling-with-machine-learning-8c8a2657b4c4)\n\n**Research Papers**\n- [Modelling customers credit card behaviour using bidirectional LSTM neural networks](https://journalofbigdata.springeropen.com/articles/10.1186/s40537-021-00461-7)\n- [Research on Credit Card Default Prediction Based on k-Means SMOTE and BP Neural Network](https://www.hindawi.com/journals/complexity/2021/6618841/)\n\n![](https://i.imgur.com/r8epsI7.png)",
    "1801501": "Thanks for sharing @ruchi798. Good as always.",
    "1806752": "Great stuff!"
  },
  "source": "meta"
}