Unit Outlines：
◆ Predictive Modeling in Marketing Analytics
。Data Aggregation & Splitting
。Probability Model : Repurchase Probability
。Numeric Model : Expected Buying Amount
。Assess Model Accuracy
。Predicting the Future
◆ Customer Value Management
。CLV – Customer Lifetime Value
。Customer Management
。Selective Acquisition, Development, Retention
Notebook：
◆ Tafeng 5_Split : Data Preparation & Splitting ( 5_Split.html )
◆ Tafeng 6_Model: Modeling & Prediction ( 6_Model.html )
Google Drive：
◆ Course Material : [ ~/ib533/ ]
Unit11 Assignment： Due: 2022/12/18 (Sun.) 23:59
Team Assignment: referring to 5_Split and 6_Model, make a notebook that …
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”
參考連結：
◆ John Hopkins: R Programming online course
◆ John Hopkins: R Programming eBook
◆ Harvard: Data Science ebook
◆ Week07c Video Recording