Topic: recency-frequency-monetary Goto Github
Some thing interesting about recency-frequency-monetary
Some thing interesting about recency-frequency-monetary
recency-frequency-monetary,Predicted customer transactions using recency, frequency, spend behaviour and Social Network metrics over lifetime using MLlib
User: arpitamangal
recency-frequency-monetary,Cohort and RFM (Recency-Frequency-Monetary) Analysis with Unsupervised Machine Learning models
User: dat4action
recency-frequency-monetary,Our goals here are finding CLV each customer, segement customer using RFM and CLV, and making recommendation
User: erlndofebri
recency-frequency-monetary,This project focused on applying machine learning to build a clustering model to segment and analyze customer characteristics in the airline industry based on LRFMC scores using K-Means and suggest business strategy recommendations based on the results.
User: faizns
recency-frequency-monetary,RFM (Recency, Frequency, Monetary) analysis
User: khlinh2512
recency-frequency-monetary,Applied SAS techniques for data analysis and machine learning in a milestone project. Base SAS Programming and SAS Viya tools were utilized for preprocessing, customer profiling, sales analysis, promotions, supplier evaluation, and customer segmentation. Results were visualized comprehensively.
User: lefteris-souflas
Home Page: https://www.credly.com/badges/3e55ab37-3cf0-4a69-9103-9aa7cfe58b6c/public_url
recency-frequency-monetary,
User: leylatulu
recency-frequency-monetary,To Identify Major Customer Segments On Transnational Dataset Using Unsupervised ML Clustering Algorithms
User: prajwaldu
recency-frequency-monetary,This project aims to perform customer segmentation and revenue prediction for a gaming company based on customer attributes. The company wants to create persona-based customer definitions and segment customers based on these personas to estimate how much potential customers can generate in revenue.
User: reates
recency-frequency-monetary,This project involves performing customer segmentation and RFM (Recency, Frequency, Monetary) analysis on customer data from a retail company. The primary goal is to categorize customers into segments based on their buying behavior and identify potential target groups for marketing campaigns.
User: reates
recency-frequency-monetary,Sales prediction for a segment of product.
User: simran-padam
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