{"id":6581,"date":"2025-12-08T13:19:37","date_gmt":"2025-12-08T05:19:37","guid":{"rendered":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=6581"},"modified":"2025-12-08T13:19:37","modified_gmt":"2025-12-08T05:19:37","slug":"12-predictive-modeling-ib533-2025-09","status":"publish","type":"page","link":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=6581&lang=en","title":{"rendered":"12. Predictive Modeling (IB533 2025.09)"},"content":{"rendered":"
Unit Outlines\uff1a<\/b><\/h5>\n
\u25c6 Predictive Modeling in Marketing Analytics<\/h6>\n
\u3002Data Aggregation & Splitting<\/h6>\n
\u3002Probability Model : Repurchase Probability<\/h6>\n
\u3002Numeric Model : Expected Buying Amount<\/h6>\n
\u3002Assess Model Accuracy<\/h6>\n
\u3002Predicting the Future<\/h6>\n
\u25c6 Customer Value Management<\/h6>\n
\u3002CLV – Customer Lifetime Value<\/h6>\n
\u3002Customer Management<\/h6>\n
\u3002Selective Acquisition, Development, Retention<\/h6>\n
\n
Notebook\uff1a<\/b><\/h5>\n
\u25c6 Tafeng 5_Split : Data Preparation & Splitting ( 5_Split.html<\/a> )<\/h6>\n
\u25c6 Tafeng 6_Model: Modeling & Prediction ( 6_Model.html<\/a> )<\/h6>\n
\n
Google Drive\uff1a\u00a0<\/b><\/h5>\n
\u25c6 Course Material : [\u00a0 ~\/ib533\/<\/a> ]<\/h6>\n
\u25c6 Unit12:\u00a0 [ ~\/ib533\/12_Preidctiive\/<\/a> ]<\/h6>\n
\n
Unit11 Assignment\uff1a Due: 2022\/12\/17 (Wed.) 23:59 <\/b><\/h5>\n
Team Assignment<\/b>: referring to 5_Split and 6_Model, make a notebook that\u00a0 …<\/h6>\n
build models that predict the purchase probability & buying amount<\/h6>\n
make prediction for every customer<\/h6>\n
calculate the CLV for every customer<\/h6>\n
knit and …<\/b><\/h6>\n
upload the html to [~\/team\/<\/a>G#\/] with filename “G#_TAFENG56.html”<\/h6>\n
\n
\u53c3\u8003\u9023\u7d50\uff1a<\/b><\/h6>\n
\u25c6\u00a0\u00a0From Data to Viz<\/a><\/h6>\n
\u25c6\u00a0\u00a0Portal of Big Data BA Platform<\/a><\/h6>\n
\u25c6\u00a0\u00a0R: Self Learning Roadmap<\/a><\/h6>\n
\u25c6\u00a0 John Hopkins: R Programming online course<\/a><\/h6>\n
\u25c6\u00a0\u00a0John Hopkins: R Programming eBook<\/a><\/h6>\n
\u25c6\u00a0\u00a0Harvard: Data Science online course<\/a><\/h6>\n
\u25c6\u00a0 Harvard: Data Science ebook<\/a><\/h6>\n
\n
\u25c6 Week07c Video Recording<\/h6>\n
\n","protected":false},"excerpt":{"rendered":"

Unit Outlines\uff1a \u25c6 Predictive Modeling in Marketing Analytics \u3002Data Aggregation & Splitting \u3002Probability Model : Repurchase Probability \u3002Numeric Model : Expected Buying Amount \u3002Assess Model Accuracy \u3002Predicting the Future \u25c6 Customer Value Management \u3002CLV – Customer Lifetime Value \u3002Customer Management \u3002Selective Acquisition, Development, Retention Notebook\uff1a \u25c6 Tafeng 5_Split : Data Preparation & Splitting ( 5_Split.html ) \u25c6 Tafeng 6_Model: Modeling & Prediction ( 6_Model.html ) Google Drive\uff1a\u00a0 \u25c6 Course Material : [\u00a0 ~\/ib533\/ ] \u25c6 Unit12:\u00a0 [ ~\/ib533\/12_Preidctiive\/ ] Unit11 Assignment\uff1a Due: 2022\/12\/17 (Wed.) 23:59 Team Assignment: referring to 5_Split and 6_Model, make a notebook that\u00a0 … build models that predict the purchase probability & buying amount make prediction for every customer calculate the CLV for every customer knit and … upload the html to [~\/team\/G#\/] with filename “G#_TAFENG56.html” \u53c3\u8003\u9023\u7d50\uff1a \u25c6\u00a0\u00a0From Data to Viz \u25c6\u00a0\u00a0Portal of Big Data BA Platform \u25c6\u00a0\u00a0R: Self Learning Roadmap \u25c6\u00a0 John Hopkins: R Programming online course \u25c6\u00a0\u00a0John Hopkins: R Programming eBook \u25c6\u00a0\u00a0Harvard: Data Science online course \u25c6\u00a0 Harvard: Data Science ebook \u25c6 Week07c Video Recording<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-6581","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/6581","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6581"}],"version-history":[{"count":1,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/6581\/revisions"}],"predecessor-version":[{"id":6582,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/6581\/revisions\/6582"}],"wp:attachment":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6581"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}