{"id":851,"date":"2019-03-29T18:59:24","date_gmt":"2019-03-29T18:59:24","guid":{"rendered":"http:\/\/technicalelvis.com\/blog\/?p=851"},"modified":"2019-03-29T18:59:24","modified_gmt":"2019-03-29T18:59:24","slug":"kaggle-credit-risk-competition","status":"publish","type":"post","link":"https:\/\/technicalelvis.com\/blog\/2019\/03\/29\/kaggle-credit-risk-competition\/","title":{"rendered":"Kaggle Credit Risk Competition"},"content":{"rendered":"<h1>Kaggle Competition Goal<\/h1>\n<p>Detect which loans are at risk of default using credit application data and 3rd party credit data.<\/p>\n<h2>My Approach<\/h2>\n<p>Fetch the Kaggle competition data from the <a href=\"https:\/\/www.kaggle.com\/c\/home-credit-default-risk\">Home Credit Default Risk Competition<\/a>, generate numeric and categorical features then build models using Tensorflow, Scikit-Learn and XGBoost.<\/p>\n<h2>Github<\/h2>\n<p>See my <a href=\"https:\/\/github.com\/telvis07\/kaggle_credit_risk\">kaggle_credit_risk github repo<\/a>\u00a0to view\u00a0the source for generating features, training models and running model experiments.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Kaggle Competition Goal Detect which loans are at risk of default using credit application data and 3rd party credit data. My Approach Fetch the Kaggle competition data from the Home Credit Default Risk Competition, generate numeric and categorical features then build models using Tensorflow, Scikit-Learn and XGBoost. Github See my kaggle_credit_risk github repo\u00a0to view\u00a0the source &hellip; <a href=\"https:\/\/technicalelvis.com\/blog\/2019\/03\/29\/kaggle-credit-risk-competition\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Kaggle Credit Risk Competition<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[19,7],"tags":[],"class_list":["post-851","post","type-post","status-publish","format-standard","hentry","category-data-science","category-python"],"_links":{"self":[{"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/posts\/851","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/comments?post=851"}],"version-history":[{"count":7,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/posts\/851\/revisions"}],"predecessor-version":[{"id":870,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/posts\/851\/revisions\/870"}],"wp:attachment":[{"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/media?parent=851"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/categories?post=851"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/tags?post=851"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}