{"id":5066,"date":"2021-10-01T06:36:17","date_gmt":"2021-10-01T06:36:17","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2021\/10\/01\/how-to-determine-the-best-fitting-data-distribution-using-python\/"},"modified":"2021-10-01T06:36:17","modified_gmt":"2021-10-01T06:36:17","slug":"how-to-determine-the-best-fitting-data-distribution-using-python","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2021\/10\/01\/how-to-determine-the-best-fitting-data-distribution-using-python\/","title":{"rendered":"How to Determine the Best Fitting Data Distribution Using Python"},"content":{"rendered":"<p>Author: Matthew Mayo<\/p>\n<div>Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.<\/div>\n<p><a href=\"https:\/\/www.kdnuggets.com\/2021\/09\/determine-best-fitting-data-distribution-python.html\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Matthew Mayo Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2021\/10\/01\/how-to-determine-the-best-fitting-data-distribution-using-python\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":461,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/5066"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=5066"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/5066\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/464"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=5066"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=5066"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=5066"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}