Help needed-Credit Card Customers Analysis

[mboroto_89]

Dear community, I need help with my workflow.

not sure what i'm not doing right when it comes to assigning predictor variables.

I keep getting errors when i run the workflow.

I want to predict How many customers churn the credit card service using various predictor variable such as Customer Age, Months on book, Months Inactive, Credit Limit etc.

This is for learning purposes and not an actual data set- as i am looking to enhance my predictive analytics acumen.

I want to recreate similar insights as in the  below article which is the source of my use case.

https://medium.com/@yejizoeseoung/credit-card-customers-analysis-6a193f00c044

[cgoodman3 · Accepted solution]

Have you checked out the interactive lessons that are available on community?

https://community.alteryx.com/t5/Interactive-Lessons/Creating-a-Predictive-Model/ta-p/504767

Predictive modelling is partly a science and you will need likely do some feature engineering with your data to get a good data set for the predictions, such as should customer age be binned into 2/5/10 year age categories. 

If you have access to Intelligence Suite or can get a trial of it, then you’ll also be able to use assisted modelling which will provided a guided walkthrough.

[mboroto_89]

Thanks @cgoodman3 i will check the interactive lessons and also use the assisted modelling tool for this as well.

[mboroto_89]

Full work flow Credit Card Churn Analysis, 

Determining credit card customers likely to churn using predictive analytics.