{"id":1745,"date":"2018-11-06T15:06:34","date_gmt":"2018-11-06T20:06:34","guid":{"rendered":"https:\/\/portfolios.cs.earlham.edu\/?p=1745"},"modified":"2018-11-06T15:06:59","modified_gmt":"2018-11-06T20:06:59","slug":"weekly-update-29","status":"publish","type":"post","link":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2018\/11\/06\/weekly-update-29\/","title":{"rendered":"Weekly Update"},"content":{"rendered":"<p>The front end development part for my project is almost complete. The database setup and connection is completed. The integration of backend machine learning\u00a0model with flask has worked. The flask prediction model has also been linked with the frontend. There are some issues with websites that are not blog and I am fixing the issue. Next step is to make a retrainable model.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The front end development part for my project is almost complete. The database setup and connection is completed. The integration of backend machine learning\u00a0model with flask has worked. The flask prediction model has also been linked with the frontend. There &hellip; <a href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2018\/11\/06\/weekly-update-29\/\">Read More<\/a><\/p>\n","protected":false},"author":29,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[64,19],"tags":[],"class_list":["post-1745","post","type-post","status-publish","format-standard","hentry","category-maniz-shrestha","category-student"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Weekly Update - CS\/DS Student Portfolios<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2018\/11\/06\/weekly-update-29\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Weekly Update - CS\/DS Student Portfolios\" \/>\n<meta property=\"og:description\" content=\"The front end development part for my project is almost complete. The database setup and connection is completed. The integration of backend machine learning\u00a0model with flask has worked. The flask prediction model has also been linked with the frontend. 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