{"id":762,"date":"2016-07-18T11:19:26","date_gmt":"2016-07-18T11:19:26","guid":{"rendered":"http:\/\/technicalelvis.com\/blog\/?p=762"},"modified":"2016-07-18T11:23:16","modified_gmt":"2016-07-18T11:23:16","slug":"completed-coursera-data-science-specialization","status":"publish","type":"post","link":"https:\/\/technicalelvis.com\/blog\/2016\/07\/18\/completed-coursera-data-science-specialization\/","title":{"rendered":"Completed Coursera Data Science Specialization"},"content":{"rendered":"<p>I completed the <a href=\"https:\/\/www.coursera.org\/specializations\/jhu-data-science\">10-course data science specialization by Johns Hopkins University on Coursera<\/a>. <\/p>\n<p>Here are my certificates:<br \/>\n<a href=\"https:\/\/www.coursera.org\/account\/accomplishments\/specialization\/JKSAW82GLH35\">https:\/\/www.coursera.org\/account\/accomplishments\/specialization\/JKSAW82GLH35<\/a><\/p>\n<h3> Links <\/h3>\n<ul>\n<li> Shiny Demo Application : <a href=\"https:\/\/technicalelvis.shinyapps.io\/shiny_demo_word_predictor\/\">https:\/\/technicalelvis.shinyapps.io\/shiny_demo_word_predictor\/<\/a>\n<li> Demo Slides : <a href=\"https:\/\/telvis07.github.io\/slides_demo_word_predictor\/#1\">https:\/\/telvis07.github.io\/slides_demo_word_predictor\/#1<\/a>\n<li> Milestone Report : <a href=\"http:\/\/rpubs.com\/telvis\/capstone_report_1\">http:\/\/rpubs.com\/telvis\/capstone_report_1<\/a>\n<li> Source : <a href=\"https:\/\/github.com\/telvis07\/10_capstone\">https:\/\/github.com\/telvis07\/10_capstone<\/a>\n<li> Link to raw data : <a href=\"https:\/\/d396qusza40orc.cloudfront.net\/dsscapstone\/dataset\/Coursera-SwiftKey.zip\">https:\/\/d396qusza40orc.cloudfront.net\/dsscapstone\/dataset\/Coursera-SwiftKey.zip<\/a>\n<li> Link to ngram models with MLE probabilities : <a href=\"https:\/\/github.com\/telvis07\/shiny_demo_word_predictor\/tree\/master\/models\">https:\/\/github.com\/telvis07\/shiny_demo_word_predictor\/tree\/master\/models<\/a>\n<\/ul>\n<h3> Retrospective <\/h3>\n<p>I enjoyed the course. This course took me waaaay more time than I thought because I struggled with a few issues. <\/p>\n<ul>\n<li> First, I wish I'd started by taking the NLP online course before starting the Capstone (<a href=\"https:\/\/www.youtube.com\/watch?v=-aMYz1tMfPg\">https:\/\/www.youtube.com\/watch?v=-aMYz1tMfPg<\/a>).\n<li> There was an issue installing RWeka, RJava and it took me several days to work through the issues. I eventually moved to using quanteda (<a href=\"https:\/\/cran.r-project.org\/web\/packages\/quanteda\/vignettes\/quickstart.html\">https:\/\/cran.r-project.org\/web\/packages\/quanteda\/vignettes\/quickstart.html<\/a>).\n<li> I also waited far too long to develop a method to test my model using a subset of the training data, so I could test whether changes to my model improved and reduced performance. It turns out that my model trained on a 25% sample performed just as well as a model trained on 100%. I should have spent more time trying different models with the 25% sampled data.\n<\/ul>\n<p>I'm thankful for the Discussion Forum and final peer review process. Both helped me learn how I can improve my model and demo application. I really appreciate the instructors for creating this specialization. I've learned a lot.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I completed the 10-course data science specialization by Johns Hopkins University on Coursera. Here are my certificates: https:\/\/www.coursera.org\/account\/accomplishments\/specialization\/JKSAW82GLH35 Links Shiny Demo Application : https:\/\/technicalelvis.shinyapps.io\/shiny_demo_word_predictor\/ Demo Slides : https:\/\/telvis07.github.io\/slides_demo_word_predictor\/#1 Milestone Report : http:\/\/rpubs.com\/telvis\/capstone_report_1 Source : https:\/\/github.com\/telvis07\/10_capstone Link to raw data : https:\/\/d396qusza40orc.cloudfront.net\/dsscapstone\/dataset\/Coursera-SwiftKey.zip Link to ngram models with MLE probabilities : https:\/\/github.com\/telvis07\/shiny_demo_word_predictor\/tree\/master\/models Retrospective I enjoyed the course. &hellip; <a href=\"https:\/\/technicalelvis.com\/blog\/2016\/07\/18\/completed-coursera-data-science-specialization\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Completed Coursera Data Science Specialization<\/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],"tags":[],"class_list":["post-762","post","type-post","status-publish","format-standard","hentry","category-data-science"],"_links":{"self":[{"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/posts\/762","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=762"}],"version-history":[{"count":11,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/posts\/762\/revisions"}],"predecessor-version":[{"id":773,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/posts\/762\/revisions\/773"}],"wp:attachment":[{"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/media?parent=762"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/categories?post=762"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/tags?post=762"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}