Ayaanjawaid/RFM-Based-Customer-Profiling-

RFM-Based Customer Profiling for Business Insights

Size: 6.34 MB - Last synced at: about 14 hours ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

Profbla2020/Customer-predictive-Model

NextBuyPredictor is a machine learning project designed to predict whether a customer will make their next purchase within a specified timeframe. By analyzing customer purchase history and behavioral patterns, this tool helps businesses forecast buying behavior, optimize marketing strategies, and improve customer retention.

Language: Jupyter Notebook - Size: 950 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Lefteris-Souflas/SAS-Programming-and-Machine-Learning

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.

Language: SAS - Size: 16.1 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

erlndofebri/Customer-Lifetime-Value

Our goals here are finding CLV each customer, segement customer using RFM and CLV, and making recommendation

Language: Jupyter Notebook - Size: 2.92 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

arpitamangal/customer-spend-behavior-and-social-network

Predicted customer transactions using recency, frequency, spend behaviour and Social Network metrics over lifetime using MLlib

Language: Jupyter Notebook - Size: 269 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

khlinh2512/RFM-Analysis

RFM (Recency, Frequency, Monetary) analysis

Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

leylatulu/FLO-RFM-Analysis

Language: Python - Size: 7.81 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

faizns/Airline-Customer-Segmentation-Based-on-LRFMC-Model-Using-KMeans

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.

Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

prajwalDU/customer-segmentation

To Identify Major Customer Segments On Transnational Dataset Using Unsupervised ML Clustering Algorithms

Language: Jupyter Notebook - Size: 25.3 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

simran-padam/sales-analysis

Sales prediction for a segment of product.

Language: Jupyter Notebook - Size: 150 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0