There are 28 repositories under customer-segmentation topic.
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
Python script (and IPython notebook) to perform RFM analysis from customer purchase history data
Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.
What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.
Tools for Customer Segmentation using RFM Analysis
The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.
Showcase for using H2O and R for scoring for marketing campaign in retail
Performs an exploratory analysis on a dataset containing information about shop customers. Check that the assumptions K-means makes are fulfilled. Apply K-means clustering algorithm in order to segment customers.
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment
This repository contains solutions to the 3 different tasks that must be performed during the data analytics virtual internship provided by KPMG via Forage.
Customer-base segmentation over e-commerce sales data
This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.
Customer Segmentation Analysis with RFM, using Python and Power BI.
Analyse customer segmentation, sentiment on product review, and built a product recommender system
Customer Personality Analysis Using Clustering
This notebook provides some skills to perform financial analysis on economical data.
Using K-Means algorithm for customer segmentation due to credit card behavior
A Repository Maintaining My Summer Internship Work At Datalogy As A Data Science Intern Working On Customer Segmentation Models Using Heirarchical Clustering, K-Means Clustering And Identifying Loyal Customers Based On Creation Of Recency, Frequence, Monetary (RFM) Matrix.
Unsupervised ML: Finding Customer Segments in General Population
Unlock actionable insights and boost customer retention with this Power BI project. Analyze and visualize risk factors to proactively prevent churn. ➡️
By means of this project I am trying to create a value-based customer segmentation model using RFM(Recency, Frequency, Monetary) analysis in python using pandas, numpy and matplotlib
This is a demonstration of k-means algorithm on customer data of a mall (also known as customer segmentation).
Can we do Customers Segmentation using PHP and Unsupervized Machine Learning ? Yes we can ! 🤡
[ 공모전 ] 다각적 모델을 활용한 대출 신청 여부 예측과 고객 군집 별 서비스 메시지 제안 : 이상치 탐지, 머신러닝, 딥러닝 모델
Machine Learning Engineer Nanodegree Program On Udacity
Customer Segmentation Using Unsupervised Machine Learning Algorithms
An approach to Customer Segmentation Using ML
This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.
The python version of the lab exercises from the coursera class Foundation of marketing analytics.
Python Package for RFM Analysis and Customer Segmentation
Customer segmentation using k-modes unsupervised clustering
Pickl.AI’s Datathon - 4
Segmented customers based on Recency,Frequency & Monetary Value (RFM) metrics using K-means clustering algorithm