{
  "id": 473664,
  "title": "Starting materials and references",
  "url": "/competitions/home-credit-credit-risk-model-stability/discussion/473664",
  "author_name": "",
  "post_date": "2024-02-05T18:17:55.456178200Z",
  "votes": 83,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hello all,</p>\n<p>Wishing you the best for the concurrent edition of the Home Credit - Credit Risk Model Stability competition. I hope the below curated resources list helps one and all onboard effectively and quickly-</p>\n<h1>Past edition of the same competition</h1>\n<h2><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk\" target=\"_blank\">Home Credit Default Risk</a></h2>\n<h3>Highest voted kernels</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/code/willkoehrsen/start-here-a-gentle-introduction\" target=\"_blank\">https://www.kaggle.com/code/willkoehrsen/start-here-a-gentle-introduction</a></li>\n<li><a href=\"https://www.kaggle.com/code/codename007/home-credit-complete-eda-feature-importance\" target=\"_blank\">https://www.kaggle.com/code/codename007/home-credit-complete-eda-feature-importance</a></li>\n<li><a href=\"https://www.kaggle.com/code/willkoehrsen/introduction-to-manual-feature-engineering\" target=\"_blank\">https://www.kaggle.com/code/willkoehrsen/introduction-to-manual-feature-engineering</a></li>\n<li><a href=\"https://www.kaggle.com/code/ogrellier/feature-selection-with-null-importances\" target=\"_blank\">https://www.kaggle.com/code/ogrellier/feature-selection-with-null-importances</a></li>\n<li><a href=\"https://www.kaggle.com/code/jsaguiar/lightgbm-with-simple-features\" target=\"_blank\">https://www.kaggle.com/code/jsaguiar/lightgbm-with-simple-features</a></li>\n<li><a href=\"https://www.kaggle.com/code/willkoehrsen/automated-feature-engineering-basics\" target=\"_blank\">https://www.kaggle.com/code/willkoehrsen/automated-feature-engineering-basics</a></li>\n<li><a href=\"https://www.kaggle.com/code/ogrellier/good-fun-with-ligthgbm\" target=\"_blank\">https://www.kaggle.com/code/ogrellier/good-fun-with-ligthgbm</a></li>\n<li><a href=\"https://www.kaggle.com/code/willkoehrsen/automated-model-tuning\" target=\"_blank\">https://www.kaggle.com/code/willkoehrsen/automated-model-tuning</a></li>\n</ol>\n<h3>Highest scoring kernels</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/code/hikmetsezen/blend-boosting-for-home-credit-default-risk\" target=\"_blank\">https://www.kaggle.com/code/hikmetsezen/blend-boosting-for-home-credit-default-risk</a></li>\n<li><a href=\"https://www.kaggle.com/code/titericz/giba-post-processing-user-id-boost\" target=\"_blank\">https://www.kaggle.com/code/titericz/giba-post-processing-user-id-boost</a></li>\n<li><a href=\"https://www.kaggle.com/code/hikmetsezen/base-model-with-0-804-auc-on-home-credit\" target=\"_blank\">https://www.kaggle.com/code/hikmetsezen/base-model-with-0-804-auc-on-home-credit</a></li>\n<li><a href=\"https://www.kaggle.com/code/nikitsoftweb/different-basic-blends-possible\" target=\"_blank\">https://www.kaggle.com/code/nikitsoftweb/different-basic-blends-possible</a></li>\n<li><a href=\"https://www.kaggle.com/code/omarkhd99/home-credit-default-risk-challeng\" target=\"_blank\">https://www.kaggle.com/code/omarkhd99/home-credit-default-risk-challeng</a></li>\n</ol>\n<h3>High scoring approaches and solution writeups</h3>\n<table>\n<thead>\n<tr>\n<th>Rank</th>\n<th>Link</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>1</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64821\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64821</a></td>\n</tr>\n<tr>\n<td>2</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64722\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64722</a></td>\n</tr>\n<tr>\n<td>3</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64596\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64596</a></td>\n</tr>\n<tr>\n<td>4</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64487\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64487</a></td>\n</tr>\n<tr>\n<td>5</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64625\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64625</a></td>\n</tr>\n<tr>\n<td>7</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64580\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64580</a></td>\n</tr>\n<tr>\n<td>8</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64474\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64474</a></td>\n</tr>\n<tr>\n<td>9</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64536\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64536</a></td>\n</tr>\n<tr>\n<td>10</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64598\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64598</a></td>\n</tr>\n<tr>\n<td>12</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64504\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64504</a></td>\n</tr>\n<tr>\n<td>13</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64593\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64593</a></td>\n</tr>\n<tr>\n<td>14</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64502\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64502</a></td>\n</tr>\n<tr>\n<td>16</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64505\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64505</a></td>\n</tr>\n</tbody>\n</table>\n<h3>Other useful discussions</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58332\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58332</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/63032\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/63032</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/60921\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/60921</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/57750\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/57750</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58445\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58445</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/62122\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/62122</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/60494\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/60494</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58174\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58174</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/59308\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/59308</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/57918\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/57918</a></li>\n</ol>\n<h1>Other Finance and Credit Risk competitions</h1>\n<h2><a href=\"https://www.kaggle.com/competitions/amex-default-prediction\" target=\"_blank\">American Express - Default Prediction</a></h2>\n<h3>Handpicked kernels from the most popular ones</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/code/jiweiliu/rapids-cudf-feature-engineering-xgb\" target=\"_blank\">https://www.kaggle.com/code/jiweiliu/rapids-cudf-feature-engineering-xgb</a></li>\n<li><a href=\"https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7977\" target=\"_blank\">https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7977</a></li>\n<li><a href=\"https://www.kaggle.com/code/kellibelcher/amex-default-prediction-eda-lgbm-baseline\" target=\"_blank\">https://www.kaggle.com/code/kellibelcher/amex-default-prediction-eda-lgbm-baseline</a></li>\n<li><a href=\"https://www.kaggle.com/code/datark1/american-express-eda\" target=\"_blank\">https://www.kaggle.com/code/datark1/american-express-eda</a></li>\n<li><a href=\"https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7963\" target=\"_blank\">https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7963</a></li>\n<li><a href=\"https://www.kaggle.com/code/thedevastator/lag-features-are-all-you-need\" target=\"_blank\">https://www.kaggle.com/code/thedevastator/lag-features-are-all-you-need</a></li>\n<li><a href=\"https://www.kaggle.com/code/raddar/the-data-has-random-uniform-noise-added\" target=\"_blank\">https://www.kaggle.com/code/raddar/the-data-has-random-uniform-noise-added</a></li>\n<li><a href=\"https://www.kaggle.com/code/alexryzhkov/amex-lightautoml-starter\" target=\"_blank\">https://www.kaggle.com/code/alexryzhkov/amex-lightautoml-starter</a></li>\n<li><a href=\"https://www.kaggle.com/code/thedevastator/amex-features-the-best-of-both-worlds\" target=\"_blank\">https://www.kaggle.com/code/thedevastator/amex-features-the-best-of-both-worlds</a></li>\n<li><a href=\"https://www.kaggle.com/code/thedevastator/the-fine-art-of-hyperparameter-tuning\" target=\"_blank\">https://www.kaggle.com/code/thedevastator/the-fine-art-of-hyperparameter-tuning</a></li>\n</ol>\n<h3>High scoring kernels</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/code/hideyukizushi/amex-inf-blend-onlyteam-v2\" target=\"_blank\">https://www.kaggle.com/code/hideyukizushi/amex-inf-blend-onlyteam-v2</a></li>\n<li><a href=\"https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7977\" target=\"_blank\">https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7977</a></li>\n<li><a href=\"https://www.kaggle.com/code/thedevastator/the-fine-art-of-hyperparameter-tuning\" target=\"_blank\">https://www.kaggle.com/code/thedevastator/the-fine-art-of-hyperparameter-tuning</a></li>\n<li><a href=\"https://www.kaggle.com/code/manwithaflower/overfitting-public-lb\" target=\"_blank\">https://www.kaggle.com/code/manwithaflower/overfitting-public-lb</a></li>\n</ol>\n<h3>High scoring approaches and solution writeups</h3>\n<table>\n<thead>\n<tr>\n<th>Rank</th>\n<th>Link</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>1</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/348111\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/348111</a></td>\n</tr>\n<tr>\n<td>2</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/347637\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/347637</a></td>\n</tr>\n<tr>\n<td>3</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/349741\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/349741</a></td>\n</tr>\n<tr>\n<td>5</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/348097\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/348097</a></td>\n</tr>\n<tr>\n<td>9</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/350538\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/350538</a></td>\n</tr>\n<tr>\n<td>10</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/347668\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/347668</a></td>\n</tr>\n<tr>\n<td>11</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/347786\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/347786</a></td>\n</tr>\n<tr>\n<td>12</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/347740\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/347740</a></td>\n</tr>\n</tbody>\n</table>\n<h3>Other useful discussions</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/328514\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/328514</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/335892\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/335892</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/327464\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/327464</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/331131\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/331131</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/333338\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/333338</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/334670\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/334670</a></li>\n</ol>\n<h2><a href=\"https://www.kaggle.com/competitions/playground-series-s3e4\" target=\"_blank\">Binary Classification with a Tabular Credit Card Fraud Dataset</a></h2>\n<h3>Handpicked kernels from the most popular ones</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/code/marcinrutecki/how-to-create-a-meaningful-eda\" target=\"_blank\">https://www.kaggle.com/code/marcinrutecki/how-to-create-a-meaningful-eda</a></li>\n<li><a href=\"https://www.kaggle.com/code/javohirtoshqorgonov/credit-card-fraud-detection-model\" target=\"_blank\">https://www.kaggle.com/code/javohirtoshqorgonov/credit-card-fraud-detection-model</a></li>\n<li><a href=\"https://www.kaggle.com/code/odins0n/playground-s-3-e-4-eda-modelling\" target=\"_blank\">https://www.kaggle.com/code/odins0n/playground-s-3-e-4-eda-modelling</a></li>\n<li><a href=\"https://www.kaggle.com/code/ashishkumarak/credit-card-fraud-detection-tensorflow\" target=\"_blank\">https://www.kaggle.com/code/ashishkumarak/credit-card-fraud-detection-tensorflow</a></li>\n<li><a href=\"https://www.kaggle.com/code/alexandershumilin/ps-s3-e4-ensemble-model\" target=\"_blank\">https://www.kaggle.com/code/alexandershumilin/ps-s3-e4-ensemble-model</a></li>\n</ol>\n<h3>High scoring kernels</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/code/alexandershumilin/ps-s3-e4-ensemble-model\" target=\"_blank\">https://www.kaggle.com/code/alexandershumilin/ps-s3-e4-ensemble-model</a></li>\n<li><a href=\"https://www.kaggle.com/code/kdmitrie/pgs34-basic-test-of-models-blending\" target=\"_blank\">https://www.kaggle.com/code/kdmitrie/pgs34-basic-test-of-models-blending</a></li>\n<li><a href=\"https://www.kaggle.com/code/vijethrai/top-3-ensemble-of-top-notebooks-in-public-lb\" target=\"_blank\">https://www.kaggle.com/code/vijethrai/top-3-ensemble-of-top-notebooks-in-public-lb</a></li>\n<li><a href=\"https://www.kaggle.com/code/vaidyaprasad84/ps3-e4-eda-sampling-ft\" target=\"_blank\">https://www.kaggle.com/code/vaidyaprasad84/ps3-e4-eda-sampling-ft</a></li>\n<li><a href=\"https://www.kaggle.com/code/cv13j0/pss-3-episode-4-quick-start-gbdt\" target=\"_blank\">https://www.kaggle.com/code/cv13j0/pss-3-episode-4-quick-start-gbdt</a></li>\n</ol>\n<h3>High scoring approaches and solution writeups</h3>\n<table>\n<thead>\n<tr>\n<th>Rank</th>\n<th>Link</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>10</td>\n<td><a href=\"https://www.kaggle.com/competitions/playground-series-s3e4/discussion/382539\" target=\"_blank\">https://www.kaggle.com/competitions/playground-series-s3e4/discussion/382539</a></td>\n</tr>\n<tr>\n<td>30</td>\n<td><a href=\"https://www.kaggle.com/competitions/playground-series-s3e4/discussion/382447\" target=\"_blank\">https://www.kaggle.com/competitions/playground-series-s3e4/discussion/382447</a></td>\n</tr>\n</tbody>\n</table>\n<p>Wishing you the best for the challenge! Happy learning and best regards!</p>",
  "messages": [
    {
      "id": "2637469",
      "postDate": "02/05/2024 18:17:55",
      "content": "<p>Hello all,</p>\n<p>Wishing you the best for the concurrent edition of the Home Credit - Credit Risk Model Stability competition. I hope the below curated resources list helps one and all onboard effectively and quickly-</p>\n<h1>Past edition of the same competition</h1>\n<h2><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk\" target=\"_blank\">Home Credit Default Risk</a></h2>\n<h3>Highest voted kernels</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/code/willkoehrsen/start-here-a-gentle-introduction\" target=\"_blank\">https://www.kaggle.com/code/willkoehrsen/start-here-a-gentle-introduction</a></li>\n<li><a href=\"https://www.kaggle.com/code/codename007/home-credit-complete-eda-feature-importance\" target=\"_blank\">https://www.kaggle.com/code/codename007/home-credit-complete-eda-feature-importance</a></li>\n<li><a href=\"https://www.kaggle.com/code/willkoehrsen/introduction-to-manual-feature-engineering\" target=\"_blank\">https://www.kaggle.com/code/willkoehrsen/introduction-to-manual-feature-engineering</a></li>\n<li><a href=\"https://www.kaggle.com/code/ogrellier/feature-selection-with-null-importances\" target=\"_blank\">https://www.kaggle.com/code/ogrellier/feature-selection-with-null-importances</a></li>\n<li><a href=\"https://www.kaggle.com/code/jsaguiar/lightgbm-with-simple-features\" target=\"_blank\">https://www.kaggle.com/code/jsaguiar/lightgbm-with-simple-features</a></li>\n<li><a href=\"https://www.kaggle.com/code/willkoehrsen/automated-feature-engineering-basics\" target=\"_blank\">https://www.kaggle.com/code/willkoehrsen/automated-feature-engineering-basics</a></li>\n<li><a href=\"https://www.kaggle.com/code/ogrellier/good-fun-with-ligthgbm\" target=\"_blank\">https://www.kaggle.com/code/ogrellier/good-fun-with-ligthgbm</a></li>\n<li><a href=\"https://www.kaggle.com/code/willkoehrsen/automated-model-tuning\" target=\"_blank\">https://www.kaggle.com/code/willkoehrsen/automated-model-tuning</a></li>\n</ol>\n<h3>Highest scoring kernels</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/code/hikmetsezen/blend-boosting-for-home-credit-default-risk\" target=\"_blank\">https://www.kaggle.com/code/hikmetsezen/blend-boosting-for-home-credit-default-risk</a></li>\n<li><a href=\"https://www.kaggle.com/code/titericz/giba-post-processing-user-id-boost\" target=\"_blank\">https://www.kaggle.com/code/titericz/giba-post-processing-user-id-boost</a></li>\n<li><a href=\"https://www.kaggle.com/code/hikmetsezen/base-model-with-0-804-auc-on-home-credit\" target=\"_blank\">https://www.kaggle.com/code/hikmetsezen/base-model-with-0-804-auc-on-home-credit</a></li>\n<li><a href=\"https://www.kaggle.com/code/nikitsoftweb/different-basic-blends-possible\" target=\"_blank\">https://www.kaggle.com/code/nikitsoftweb/different-basic-blends-possible</a></li>\n<li><a href=\"https://www.kaggle.com/code/omarkhd99/home-credit-default-risk-challeng\" target=\"_blank\">https://www.kaggle.com/code/omarkhd99/home-credit-default-risk-challeng</a></li>\n</ol>\n<h3>High scoring approaches and solution writeups</h3>\n<table>\n<thead>\n<tr>\n<th>Rank</th>\n<th>Link</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>1</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64821\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64821</a></td>\n</tr>\n<tr>\n<td>2</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64722\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64722</a></td>\n</tr>\n<tr>\n<td>3</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64596\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64596</a></td>\n</tr>\n<tr>\n<td>4</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64487\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64487</a></td>\n</tr>\n<tr>\n<td>5</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64625\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64625</a></td>\n</tr>\n<tr>\n<td>7</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64580\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64580</a></td>\n</tr>\n<tr>\n<td>8</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64474\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64474</a></td>\n</tr>\n<tr>\n<td>9</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64536\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64536</a></td>\n</tr>\n<tr>\n<td>10</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64598\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64598</a></td>\n</tr>\n<tr>\n<td>12</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64504\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64504</a></td>\n</tr>\n<tr>\n<td>13</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64593\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64593</a></td>\n</tr>\n<tr>\n<td>14</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64502\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64502</a></td>\n</tr>\n<tr>\n<td>16</td>\n<td><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64505\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64505</a></td>\n</tr>\n</tbody>\n</table>\n<h3>Other useful discussions</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58332\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58332</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/63032\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/63032</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/60921\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/60921</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/57750\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/57750</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58445\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58445</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/62122\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/62122</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/60494\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/60494</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58174\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58174</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/59308\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/59308</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/home-credit-default-risk/discussion/57918\" target=\"_blank\">https://www.kaggle.com/competitions/home-credit-default-risk/discussion/57918</a></li>\n</ol>\n<h1>Other Finance and Credit Risk competitions</h1>\n<h2><a href=\"https://www.kaggle.com/competitions/amex-default-prediction\" target=\"_blank\">American Express - Default Prediction</a></h2>\n<h3>Handpicked kernels from the most popular ones</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/code/jiweiliu/rapids-cudf-feature-engineering-xgb\" target=\"_blank\">https://www.kaggle.com/code/jiweiliu/rapids-cudf-feature-engineering-xgb</a></li>\n<li><a href=\"https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7977\" target=\"_blank\">https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7977</a></li>\n<li><a href=\"https://www.kaggle.com/code/kellibelcher/amex-default-prediction-eda-lgbm-baseline\" target=\"_blank\">https://www.kaggle.com/code/kellibelcher/amex-default-prediction-eda-lgbm-baseline</a></li>\n<li><a href=\"https://www.kaggle.com/code/datark1/american-express-eda\" target=\"_blank\">https://www.kaggle.com/code/datark1/american-express-eda</a></li>\n<li><a href=\"https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7963\" target=\"_blank\">https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7963</a></li>\n<li><a href=\"https://www.kaggle.com/code/thedevastator/lag-features-are-all-you-need\" target=\"_blank\">https://www.kaggle.com/code/thedevastator/lag-features-are-all-you-need</a></li>\n<li><a href=\"https://www.kaggle.com/code/raddar/the-data-has-random-uniform-noise-added\" target=\"_blank\">https://www.kaggle.com/code/raddar/the-data-has-random-uniform-noise-added</a></li>\n<li><a href=\"https://www.kaggle.com/code/alexryzhkov/amex-lightautoml-starter\" target=\"_blank\">https://www.kaggle.com/code/alexryzhkov/amex-lightautoml-starter</a></li>\n<li><a href=\"https://www.kaggle.com/code/thedevastator/amex-features-the-best-of-both-worlds\" target=\"_blank\">https://www.kaggle.com/code/thedevastator/amex-features-the-best-of-both-worlds</a></li>\n<li><a href=\"https://www.kaggle.com/code/thedevastator/the-fine-art-of-hyperparameter-tuning\" target=\"_blank\">https://www.kaggle.com/code/thedevastator/the-fine-art-of-hyperparameter-tuning</a></li>\n</ol>\n<h3>High scoring kernels</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/code/hideyukizushi/amex-inf-blend-onlyteam-v2\" target=\"_blank\">https://www.kaggle.com/code/hideyukizushi/amex-inf-blend-onlyteam-v2</a></li>\n<li><a href=\"https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7977\" target=\"_blank\">https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7977</a></li>\n<li><a href=\"https://www.kaggle.com/code/thedevastator/the-fine-art-of-hyperparameter-tuning\" target=\"_blank\">https://www.kaggle.com/code/thedevastator/the-fine-art-of-hyperparameter-tuning</a></li>\n<li><a href=\"https://www.kaggle.com/code/manwithaflower/overfitting-public-lb\" target=\"_blank\">https://www.kaggle.com/code/manwithaflower/overfitting-public-lb</a></li>\n</ol>\n<h3>High scoring approaches and solution writeups</h3>\n<table>\n<thead>\n<tr>\n<th>Rank</th>\n<th>Link</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>1</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/348111\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/348111</a></td>\n</tr>\n<tr>\n<td>2</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/347637\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/347637</a></td>\n</tr>\n<tr>\n<td>3</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/349741\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/349741</a></td>\n</tr>\n<tr>\n<td>5</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/348097\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/348097</a></td>\n</tr>\n<tr>\n<td>9</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/350538\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/350538</a></td>\n</tr>\n<tr>\n<td>10</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/347668\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/347668</a></td>\n</tr>\n<tr>\n<td>11</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/347786\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/347786</a></td>\n</tr>\n<tr>\n<td>12</td>\n<td><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/347740\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/347740</a></td>\n</tr>\n</tbody>\n</table>\n<h3>Other useful discussions</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/328514\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/328514</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/335892\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/335892</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/327464\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/327464</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/331131\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/331131</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/333338\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/333338</a></li>\n<li><a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/334670\" target=\"_blank\">https://www.kaggle.com/competitions/amex-default-prediction/discussion/334670</a></li>\n</ol>\n<h2><a href=\"https://www.kaggle.com/competitions/playground-series-s3e4\" target=\"_blank\">Binary Classification with a Tabular Credit Card Fraud Dataset</a></h2>\n<h3>Handpicked kernels from the most popular ones</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/code/marcinrutecki/how-to-create-a-meaningful-eda\" target=\"_blank\">https://www.kaggle.com/code/marcinrutecki/how-to-create-a-meaningful-eda</a></li>\n<li><a href=\"https://www.kaggle.com/code/javohirtoshqorgonov/credit-card-fraud-detection-model\" target=\"_blank\">https://www.kaggle.com/code/javohirtoshqorgonov/credit-card-fraud-detection-model</a></li>\n<li><a href=\"https://www.kaggle.com/code/odins0n/playground-s-3-e-4-eda-modelling\" target=\"_blank\">https://www.kaggle.com/code/odins0n/playground-s-3-e-4-eda-modelling</a></li>\n<li><a href=\"https://www.kaggle.com/code/ashishkumarak/credit-card-fraud-detection-tensorflow\" target=\"_blank\">https://www.kaggle.com/code/ashishkumarak/credit-card-fraud-detection-tensorflow</a></li>\n<li><a href=\"https://www.kaggle.com/code/alexandershumilin/ps-s3-e4-ensemble-model\" target=\"_blank\">https://www.kaggle.com/code/alexandershumilin/ps-s3-e4-ensemble-model</a></li>\n</ol>\n<h3>High scoring kernels</h3>\n<ol>\n<li><a href=\"https://www.kaggle.com/code/alexandershumilin/ps-s3-e4-ensemble-model\" target=\"_blank\">https://www.kaggle.com/code/alexandershumilin/ps-s3-e4-ensemble-model</a></li>\n<li><a href=\"https://www.kaggle.com/code/kdmitrie/pgs34-basic-test-of-models-blending\" target=\"_blank\">https://www.kaggle.com/code/kdmitrie/pgs34-basic-test-of-models-blending</a></li>\n<li><a href=\"https://www.kaggle.com/code/vijethrai/top-3-ensemble-of-top-notebooks-in-public-lb\" target=\"_blank\">https://www.kaggle.com/code/vijethrai/top-3-ensemble-of-top-notebooks-in-public-lb</a></li>\n<li><a href=\"https://www.kaggle.com/code/vaidyaprasad84/ps3-e4-eda-sampling-ft\" target=\"_blank\">https://www.kaggle.com/code/vaidyaprasad84/ps3-e4-eda-sampling-ft</a></li>\n<li><a href=\"https://www.kaggle.com/code/cv13j0/pss-3-episode-4-quick-start-gbdt\" target=\"_blank\">https://www.kaggle.com/code/cv13j0/pss-3-episode-4-quick-start-gbdt</a></li>\n</ol>\n<h3>High scoring approaches and solution writeups</h3>\n<table>\n<thead>\n<tr>\n<th>Rank</th>\n<th>Link</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>10</td>\n<td><a href=\"https://www.kaggle.com/competitions/playground-series-s3e4/discussion/382539\" target=\"_blank\">https://www.kaggle.com/competitions/playground-series-s3e4/discussion/382539</a></td>\n</tr>\n<tr>\n<td>30</td>\n<td><a href=\"https://www.kaggle.com/competitions/playground-series-s3e4/discussion/382447\" target=\"_blank\">https://www.kaggle.com/competitions/playground-series-s3e4/discussion/382447</a></td>\n</tr>\n</tbody>\n</table>\n<p>Wishing you the best for the challenge! Happy learning and best regards!</p>",
      "rawMarkdown": "Hello all,\n\nWishing you the best for the concurrent edition of the Home Credit - Credit Risk Model Stability competition. I hope the below curated resources list helps one and all onboard effectively and quickly-\n\n# Past edition of the same competition\n## [Home Credit Default Risk](https://www.kaggle.com/competitions/home-credit-default-risk)\n### Highest voted kernels\n1. https://www.kaggle.com/code/willkoehrsen/start-here-a-gentle-introduction\n2. https://www.kaggle.com/code/codename007/home-credit-complete-eda-feature-importance\n3. https://www.kaggle.com/code/willkoehrsen/introduction-to-manual-feature-engineering\n4. https://www.kaggle.com/code/ogrellier/feature-selection-with-null-importances\n5. https://www.kaggle.com/code/jsaguiar/lightgbm-with-simple-features\n6. https://www.kaggle.com/code/willkoehrsen/automated-feature-engineering-basics\n7. https://www.kaggle.com/code/ogrellier/good-fun-with-ligthgbm\n8. https://www.kaggle.com/code/willkoehrsen/automated-model-tuning\n\n### Highest scoring kernels\n1. https://www.kaggle.com/code/hikmetsezen/blend-boosting-for-home-credit-default-risk\n2. https://www.kaggle.com/code/titericz/giba-post-processing-user-id-boost\n3. https://www.kaggle.com/code/hikmetsezen/base-model-with-0-804-auc-on-home-credit\n4. https://www.kaggle.com/code/nikitsoftweb/different-basic-blends-possible\n5. https://www.kaggle.com/code/omarkhd99/home-credit-default-risk-challeng\n\n### High scoring approaches and solution writeups\n| Rank | Link |\n| --- | --- |\n| 1 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64821 |\n| 2 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64722 |\n| 3 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64596|\n| 4 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64487|\n| 5 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64625|\n| 7 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64580|\n| 8 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64474|\n| 9 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64536|\n| 10 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64598|\n| 12 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64504|\n| 13 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64593|\n| 14 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64502|\n| 16 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64505|\n\n### Other useful discussions\n1. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58332\n2. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/63032\n3. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/60921\n4. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/57750\n5. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58445\n6. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/62122\n7. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/60494\n8. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58174\n9. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/59308\n10. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/57918\n\n# Other Finance and Credit Risk competitions\n## [American Express - Default Prediction](https://www.kaggle.com/competitions/amex-default-prediction)\n### Handpicked kernels from the most popular ones\n1. https://www.kaggle.com/code/jiweiliu/rapids-cudf-feature-engineering-xgb\n2. https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7977\n3. https://www.kaggle.com/code/kellibelcher/amex-default-prediction-eda-lgbm-baseline\n4. https://www.kaggle.com/code/datark1/american-express-eda\n5. https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7963\n6. https://www.kaggle.com/code/thedevastator/lag-features-are-all-you-need\n7. https://www.kaggle.com/code/raddar/the-data-has-random-uniform-noise-added\n8. https://www.kaggle.com/code/alexryzhkov/amex-lightautoml-starter\n9. https://www.kaggle.com/code/thedevastator/amex-features-the-best-of-both-worlds\n10. https://www.kaggle.com/code/thedevastator/the-fine-art-of-hyperparameter-tuning\n\n### High scoring kernels\n1. https://www.kaggle.com/code/hideyukizushi/amex-inf-blend-onlyteam-v2\n2. https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7977\n3. https://www.kaggle.com/code/thedevastator/the-fine-art-of-hyperparameter-tuning\n4. https://www.kaggle.com/code/manwithaflower/overfitting-public-lb\n\n### High scoring approaches and solution writeups\n| Rank | Link |\n| --- | --- |\n|1|https://www.kaggle.com/competitions/amex-default-prediction/discussion/348111|\n|2|https://www.kaggle.com/competitions/amex-default-prediction/discussion/347637|\n|3|https://www.kaggle.com/competitions/amex-default-prediction/discussion/349741|\n|5|https://www.kaggle.com/competitions/amex-default-prediction/discussion/348097|\n|9|https://www.kaggle.com/competitions/amex-default-prediction/discussion/350538|\n|10|https://www.kaggle.com/competitions/amex-default-prediction/discussion/347668|\n|11|https://www.kaggle.com/competitions/amex-default-prediction/discussion/347786|\n|12|https://www.kaggle.com/competitions/amex-default-prediction/discussion/347740|\n\n### Other useful discussions\n1. https://www.kaggle.com/competitions/amex-default-prediction/discussion/328514\n2. https://www.kaggle.com/competitions/amex-default-prediction/discussion/335892\n3. https://www.kaggle.com/competitions/amex-default-prediction/discussion/327464\n4. https://www.kaggle.com/competitions/amex-default-prediction/discussion/331131\n5. https://www.kaggle.com/competitions/amex-default-prediction/discussion/333338\n6. https://www.kaggle.com/competitions/amex-default-prediction/discussion/334670\n\n## [Binary Classification with a Tabular Credit Card Fraud Dataset](https://www.kaggle.com/competitions/playground-series-s3e4)\n### Handpicked kernels from the most popular ones\n1. https://www.kaggle.com/code/marcinrutecki/how-to-create-a-meaningful-eda\n2. https://www.kaggle.com/code/javohirtoshqorgonov/credit-card-fraud-detection-model\n3. https://www.kaggle.com/code/odins0n/playground-s-3-e-4-eda-modelling\n4. https://www.kaggle.com/code/ashishkumarak/credit-card-fraud-detection-tensorflow\n5. https://www.kaggle.com/code/alexandershumilin/ps-s3-e4-ensemble-model\n\n### High scoring kernels\n1. https://www.kaggle.com/code/alexandershumilin/ps-s3-e4-ensemble-model\n2. https://www.kaggle.com/code/kdmitrie/pgs34-basic-test-of-models-blending\n3. https://www.kaggle.com/code/vijethrai/top-3-ensemble-of-top-notebooks-in-public-lb\n4. https://www.kaggle.com/code/vaidyaprasad84/ps3-e4-eda-sampling-ft\n5. https://www.kaggle.com/code/cv13j0/pss-3-episode-4-quick-start-gbdt\n\n### High scoring approaches and solution writeups\n| Rank | Link |\n| --- | --- |\n|10|https://www.kaggle.com/competitions/playground-series-s3e4/discussion/382539|\n|30|https://www.kaggle.com/competitions/playground-series-s3e4/discussion/382447|\n\nWishing you the best for the challenge! Happy learning and best regards!",
      "votes": null
    },
    {
      "id": "2640257",
      "postDate": "02/06/2024 19:01:53",
      "content": "<p><a href=\"https://www.kaggle.com/ravi20076\" target=\"_blank\">@ravi20076</a> thanks! Just at work, it will be necessary to make an application scoring model for individuals based on logistic regression, so I think that in your links I will find interesting ideas on how to raise the F1 metrics.</p>",
      "rawMarkdown": "ravi20076 thanks! Just at work, it will be necessary to make an application scoring model for individuals based on logistic regression, so I think that in your links I will find interesting ideas on how to raise the F1 metrics.",
      "votes": null
    },
    {
      "id": "2640311",
      "postDate": "02/06/2024 20:15:37",
      "content": "<p>Yes for sure, this will be found. We do this at work regularly so DM me if you need any more guidance <a href=\"https://www.kaggle.com/bratkovskyevgeny\" target=\"_blank\">@bratkovskyevgeny</a> </p>",
      "rawMarkdown": "Yes for sure, this will be found. We do this at work regularly so DM me if you need any more guidance @bratkovskyevgeny",
      "votes": null
    },
    {
      "id": "2640951",
      "postDate": "02/07/2024 07:18:17",
      "content": "<p>Nice job !!!</p>",
      "rawMarkdown": "Nice job !!!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2640257,
      "author_name": "bratkovskyevgeny",
      "author_url": "",
      "post_date": "02/06/2024 19:01:53",
      "content": "<p><a href=\"https://www.kaggle.com/ravi20076\" target=\"_blank\">@ravi20076</a> thanks! Just at work, it will be necessary to make an application scoring model for individuals based on logistic regression, so I think that in your links I will find interesting ideas on how to raise the F1 metrics.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2640311,
          "author_name": "ravi20076",
          "author_url": "",
          "post_date": "02/06/2024 20:15:37",
          "content": "<p>Yes for sure, this will be found. We do this at work regularly so DM me if you need any more guidance <a href=\"https://www.kaggle.com/bratkovskyevgeny\" target=\"_blank\">@bratkovskyevgeny</a> </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2640951,
      "author_name": "sandesh0802",
      "author_url": "",
      "post_date": "02/07/2024 07:18:17",
      "content": "<p>Nice job !!!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2637469": "Hello all,\n\nWishing you the best for the concurrent edition of the Home Credit - Credit Risk Model Stability competition. I hope the below curated resources list helps one and all onboard effectively and quickly-\n\n# Past edition of the same competition\n## [Home Credit Default Risk](https://www.kaggle.com/competitions/home-credit-default-risk)\n### Highest voted kernels\n1. https://www.kaggle.com/code/willkoehrsen/start-here-a-gentle-introduction\n2. https://www.kaggle.com/code/codename007/home-credit-complete-eda-feature-importance\n3. https://www.kaggle.com/code/willkoehrsen/introduction-to-manual-feature-engineering\n4. https://www.kaggle.com/code/ogrellier/feature-selection-with-null-importances\n5. https://www.kaggle.com/code/jsaguiar/lightgbm-with-simple-features\n6. https://www.kaggle.com/code/willkoehrsen/automated-feature-engineering-basics\n7. https://www.kaggle.com/code/ogrellier/good-fun-with-ligthgbm\n8. https://www.kaggle.com/code/willkoehrsen/automated-model-tuning\n\n### Highest scoring kernels\n1. https://www.kaggle.com/code/hikmetsezen/blend-boosting-for-home-credit-default-risk\n2. https://www.kaggle.com/code/titericz/giba-post-processing-user-id-boost\n3. https://www.kaggle.com/code/hikmetsezen/base-model-with-0-804-auc-on-home-credit\n4. https://www.kaggle.com/code/nikitsoftweb/different-basic-blends-possible\n5. https://www.kaggle.com/code/omarkhd99/home-credit-default-risk-challeng\n\n### High scoring approaches and solution writeups\n| Rank | Link |\n| --- | --- |\n| 1 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64821 |\n| 2 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64722 |\n| 3 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64596|\n| 4 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64487|\n| 5 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64625|\n| 7 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64580|\n| 8 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64474|\n| 9 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64536|\n| 10 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64598|\n| 12 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64504|\n| 13 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64593|\n| 14 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64502|\n| 16 | https://www.kaggle.com/competitions/home-credit-default-risk/discussion/64505|\n\n### Other useful discussions\n1. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58332\n2. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/63032\n3. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/60921\n4. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/57750\n5. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58445\n6. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/62122\n7. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/60494\n8. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/58174\n9. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/59308\n10. https://www.kaggle.com/competitions/home-credit-default-risk/discussion/57918\n\n# Other Finance and Credit Risk competitions\n## [American Express - Default Prediction](https://www.kaggle.com/competitions/amex-default-prediction)\n### Handpicked kernels from the most popular ones\n1. https://www.kaggle.com/code/jiweiliu/rapids-cudf-feature-engineering-xgb\n2. https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7977\n3. https://www.kaggle.com/code/kellibelcher/amex-default-prediction-eda-lgbm-baseline\n4. https://www.kaggle.com/code/datark1/american-express-eda\n5. https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7963\n6. https://www.kaggle.com/code/thedevastator/lag-features-are-all-you-need\n7. https://www.kaggle.com/code/raddar/the-data-has-random-uniform-noise-added\n8. https://www.kaggle.com/code/alexryzhkov/amex-lightautoml-starter\n9. https://www.kaggle.com/code/thedevastator/amex-features-the-best-of-both-worlds\n10. https://www.kaggle.com/code/thedevastator/the-fine-art-of-hyperparameter-tuning\n\n### High scoring kernels\n1. https://www.kaggle.com/code/hideyukizushi/amex-inf-blend-onlyteam-v2\n2. https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7977\n3. https://www.kaggle.com/code/thedevastator/the-fine-art-of-hyperparameter-tuning\n4. https://www.kaggle.com/code/manwithaflower/overfitting-public-lb\n\n### High scoring approaches and solution writeups\n| Rank | Link |\n| --- | --- |\n|1|https://www.kaggle.com/competitions/amex-default-prediction/discussion/348111|\n|2|https://www.kaggle.com/competitions/amex-default-prediction/discussion/347637|\n|3|https://www.kaggle.com/competitions/amex-default-prediction/discussion/349741|\n|5|https://www.kaggle.com/competitions/amex-default-prediction/discussion/348097|\n|9|https://www.kaggle.com/competitions/amex-default-prediction/discussion/350538|\n|10|https://www.kaggle.com/competitions/amex-default-prediction/discussion/347668|\n|11|https://www.kaggle.com/competitions/amex-default-prediction/discussion/347786|\n|12|https://www.kaggle.com/competitions/amex-default-prediction/discussion/347740|\n\n### Other useful discussions\n1. https://www.kaggle.com/competitions/amex-default-prediction/discussion/328514\n2. https://www.kaggle.com/competitions/amex-default-prediction/discussion/335892\n3. https://www.kaggle.com/competitions/amex-default-prediction/discussion/327464\n4. https://www.kaggle.com/competitions/amex-default-prediction/discussion/331131\n5. https://www.kaggle.com/competitions/amex-default-prediction/discussion/333338\n6. https://www.kaggle.com/competitions/amex-default-prediction/discussion/334670\n\n## [Binary Classification with a Tabular Credit Card Fraud Dataset](https://www.kaggle.com/competitions/playground-series-s3e4)\n### Handpicked kernels from the most popular ones\n1. https://www.kaggle.com/code/marcinrutecki/how-to-create-a-meaningful-eda\n2. https://www.kaggle.com/code/javohirtoshqorgonov/credit-card-fraud-detection-model\n3. https://www.kaggle.com/code/odins0n/playground-s-3-e-4-eda-modelling\n4. https://www.kaggle.com/code/ashishkumarak/credit-card-fraud-detection-tensorflow\n5. https://www.kaggle.com/code/alexandershumilin/ps-s3-e4-ensemble-model\n\n### High scoring kernels\n1. https://www.kaggle.com/code/alexandershumilin/ps-s3-e4-ensemble-model\n2. https://www.kaggle.com/code/kdmitrie/pgs34-basic-test-of-models-blending\n3. https://www.kaggle.com/code/vijethrai/top-3-ensemble-of-top-notebooks-in-public-lb\n4. https://www.kaggle.com/code/vaidyaprasad84/ps3-e4-eda-sampling-ft\n5. https://www.kaggle.com/code/cv13j0/pss-3-episode-4-quick-start-gbdt\n\n### High scoring approaches and solution writeups\n| Rank | Link |\n| --- | --- |\n|10|https://www.kaggle.com/competitions/playground-series-s3e4/discussion/382539|\n|30|https://www.kaggle.com/competitions/playground-series-s3e4/discussion/382447|\n\nWishing you the best for the challenge! Happy learning and best regards!",
    "2640257": "ravi20076 thanks! Just at work, it will be necessary to make an application scoring model for individuals based on logistic regression, so I think that in your links I will find interesting ideas on how to raise the F1 metrics.",
    "2640311": "Yes for sure, this will be found. We do this at work regularly so DM me if you need any more guidance @bratkovskyevgeny",
    "2640951": "Nice job !!!"
  },
  "source": "meta"
}