Examining the purchasing habits of customers and segmenting according to these habits.
This repository is for data and codes for paper @JAMA-IM 2022 Receny of Online Physician Ratings
Hypothesizes that customers who have made a purchase recently, make regular or frequent purchases with you and spend a large amount with you, are more likely to respond positively to future engagement and product offers. This might seem intuitively obvious to those of us who have experience in sales – but what the RFM model brings to the table i…
Segmenting Customer into clusters based on their interaction with Business
Segmenting store customers based on RFM (Recency, Frequency & Monetary)
Customer Segmentation using RFM modelling
This is the repository for the website of CEPHIA, the Consortium for the Evaluation and Performance of HIV Incidence Assays.
- Dimensional reduction was applied by applying PCA - Rescale mean and standard deviation with StandardScaler - Log transformation is performed for even distribution between individual clusters
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