Customer profiling and Anomaly detection -Python
You can either go by supervised learning method, basically machine learning. Also, buying pattern, I would suggest to explore more about RFM rule i.e. recency, frequency and monetary value. This will help you in creating features for model or profile customers.
Thank you for taking the time to check this question.
I am interested in creating a profile for customers buying pattern.
Once I created a profile for everyone, we take unseen data and check with the profile to see if the customers followed their profile if not raise a flag. In this manner we do not create a set alert for all buyers but we can detect anomaly based on individual buyers to benchmark against their profile.
Any thoughts or inputs to how to approach this problem.
If you have a course or tutorial on this matter please feel free to suggest it.
Thanks in advance.