{"id":1139,"date":"2025-01-13T07:02:29","date_gmt":"2025-01-13T07:02:29","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/01\/13\/lightgbm-the-fastest-option-of-gradient-boosting-1fb0c40948a3\/"},"modified":"2025-01-13T07:02:29","modified_gmt":"2025-01-13T07:02:29","slug":"lightgbm-the-fastest-option-of-gradient-boosting-1fb0c40948a3","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/01\/13\/lightgbm-the-fastest-option-of-gradient-boosting-1fb0c40948a3\/","title":{"rendered":"LightGBM: The Fastest Option of Gradient Boosting"},"content":{"rendered":"<p>    LightGBM: The Fastest Option of Gradient Boosting<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<div class=\"medium-feed-item\">\n<p class=\"medium-feed-image\"><a href=\"https:\/\/towardsdatascience.com\/lightgbm-the-fastest-option-of-gradient-boosting-1fb0c40948a3\"><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/cdn-images-1.medium.com\/max\/1280\/1%2AaSTGKT1LWq_paC-xhgdPDg.jpeg?w=1280&#038;ssl=1\" ><\/a><\/p>\n<p class=\"medium-feed-snippet\">Learn how to implement a fast and effective Gradient Boosting model using Python<\/p>\n<p class=\"medium-feed-link\"><a href=\"https:\/\/towardsdatascience.com\/lightgbm-the-fastest-option-of-gradient-boosting-1fb0c40948a3\">Continue reading on Towards Data Science \u00bb<\/a><\/p>\n<\/div>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Gustavo R Santos<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/medium.com\/m\/global-identity-2?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Flightgbm-the-fastest-option-of-gradient-boosting-1fb0c40948a3\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>LightGBM: The Fastest Option of Gradient Boosting Learn how to implement a fast and effective Gradient Boosting model using Python Continue reading on Towards Data Science \u00bb Gustavo R Santos Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,83,1256,1255,70,157],"tags":[816,379,1257],"class_list":["post-1139","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-data-science","category-gradient-boosting","category-lightgbm","category-machine-learning","category-python","tag-boosting","tag-gradient","tag-lightgbm"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/1139"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=1139"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/1139\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=1139"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=1139"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=1139"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}