{"id":6500,"date":"2015-09-17T12:44:35","date_gmt":"2015-09-17T16:44:35","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=6500"},"modified":"2015-09-21T15:19:02","modified_gmt":"2015-09-21T19:19:02","slug":"practical-customer-analytics-using-predictive-approaches0917151","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/practical-customer-analytics-using-predictive-approaches0917151\/6500\/","title":{"rendered":"Practical Customer Analytics using Predictive Approaches"},"content":{"rendered":"Are you using predictive approaches to truly leverage customer analytics? If not, I highly recommend this webinar where we\u2019ll review predictive analytic approaches to common customer analytics tasks such as predicting likelihood to purchase or expected near-term customer value. Presented by: Dean Abbott, Co-Founder and Chief Data Scientist, SmarterHQ Thu, Oct 8, 2015 1:00 PM &#8211; 2:00 PM EDT Register here for this free webinar on Practical Customer Analytics using Predictive Approaches Predictive approaches include considerable data cleaning and preparation, building predictive models, and assessing the predictive models. At each stage of the process, practical tips for accomplishing <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/practical-customer-analytics-using-predictive-approaches0917151\/6500\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Are you using predictive approaches to truly leverage customer analytics? If not, I highly recommend this webinar where we\u2019ll review predictive analytic approaches to common customer analytics tasks such as predicting likelihood to purchase or expected near-term customer value. Presented by: Dean Abbott, Co-Founder and Chief Data Scientist, SmarterHQ Thu, Oct 8, 2015 1:00 PM [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[539],"class_list":["post-6500","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-predictive-analytic"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6500","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=6500"}],"version-history":[{"count":5,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6500\/revisions"}],"predecessor-version":[{"id":7653,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6500\/revisions\/7653"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=6500"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=6500"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=6500"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}