Topic: customer-segmentation Goto Github
Some thing interesting about customer-segmentation
Some thing interesting about customer-segmentation
customer-segmentation,Customer segmentation is the practice of dividing a customer base into groups of individuals that are similar in specific ways. You can provide different value propositions to different customer groups. Customer segments are usually determined on similarities, such as personal characteristics, preferences or behaviours that should correlate with the same behaviours that drive customer profitability.
User: aadimangla
customer-segmentation,We bridge the AI gap for you
Organization: ai-companion
Home Page: http://ai-companion.com/
customer-segmentation,Machine Learning Engineer Nanodegree Program On Udacity
User: ailingliu
customer-segmentation,Unsupervised learning techniques applied on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.
User: alex01001
customer-segmentation,Customer Segmentation Using Unsupervised Machine Learning Algorithms
User: alifrmf
customer-segmentation,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.
User: archd3sai
customer-segmentation,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.
User: aryashah2k
customer-segmentation,A game company wants to create new level-based personas using some of their customers' features.
User: aysegokceyrek
customer-segmentation,This repository contains the "RFM Analysis" for a Sales Data of a Retailer in SQL. This is part of my Data Science Portfolio Projects
User: ayushiasthana18
customer-segmentation,Pickl.AI’s Datathon - 4
User: azeezat123
customer-segmentation,Customer-base segmentation over e-commerce sales data
User: cereniyim
customer-segmentation,generalized code used in my master thesis
User: chleonhartsberger
customer-segmentation,Customer Segmentation Analysis with RFM, using Python and Power BI.
User: daniel-isidro
customer-segmentation,Unlock actionable insights and boost customer retention with this Power BI project. Analyze and visualize risk factors to proactively prevent churn. ➡️
User: datavisualizationexpert
customer-segmentation,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
User: deepansh27
customer-segmentation,Automate messages across email, SMS, webhooks, & native mobile push 📨 💬 📧
Organization: dittofeed
Home Page: https://dittofeed.com/
customer-segmentation,This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
User: eaglewarrior
customer-segmentation,Using K-Means algorithm for customer segmentation due to credit card behavior
User: erenonal
customer-segmentation,Using unsupervised learning methods to help business better understand customers
User: fanta-mnix
customer-segmentation,Analyse customer segmentation, sentiment on product review, and built a product recommender system
User: gitakartika
customer-segmentation,An approach to Customer Segmentation Using ML
User: ibrahim-ogunbiyi
customer-segmentation,This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.
User: imsanjoykb
Home Page: https://imsanjoykb.github.io/
customer-segmentation,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.
User: jalajthanaki
customer-segmentation,Using Machine Learning to Analyze & Visualize Consumer Behavior
User: jbenasuli
Home Page: https://jbenasuli.github.io/consumer_behavior/
customer-segmentation,Python script (and IPython notebook) to perform RFM analysis from customer purchase history data
User: joaolcorreia
customer-segmentation,This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.
User: klaudia-nazarko
customer-segmentation,Data Mining Final Project
User: maggie0927
customer-segmentation,[ 공모전 ] 다각적 모델을 활용한 대출 신청 여부 예측과 고객 군집 별 서비스 메시지 제안 : 이상치 탐지, 머신러닝, 딥러닝 모델
User: maj34
customer-segmentation,This is a demonstration of k-means algorithm on customer data of a mall (also known as customer segmentation).
User: mayursrt
customer-segmentation,customer segmentation with rfm
User: mesudepolat
customer-segmentation,Can we do Customers Segmentation using PHP and Unsupervized Machine Learning ? Yes we can ! 🤡
User: mickaelandrieu
customer-segmentation,Unsupervised ML: Finding Customer Segments in General Population
User: mkucz95
customer-segmentation,FLO wants to determine roadmap for sales and marketing activities. In order for the company to make a medium long -term plan, it is necessary to estimate the potential value that existing customers will provide to the company in the future.
User: mtahiraslan
customer-segmentation,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.
User: mukulsinghal001
Home Page: https://mukulsinghal001-customer-lifetime-model-de-streamlit-app-t3zaq6.streamlit.app/
customer-segmentation,Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment
User: nikhilkohli1
customer-segmentation,Customer Personality Analysis Using Clustering
User: pegah-ardehkhani
customer-segmentation,This notebook provides some skills to perform financial analysis on economical data.
User: pouyaardehkhani
customer-segmentation,
User: rachelpengmkt
customer-segmentation,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.
Organization: retentioneering
Home Page: https://doc.retentioneering.com/stable/doc/index.html
customer-segmentation,This Repository Contains different Machine Learning Projects on various dataset. From Exploratory Data Analysis - Visualization to Prediction and Classification..
User: rkshiyaniya
customer-segmentation,Tools for Customer Segmentation using RFM Analysis
Organization: rsquaredacademy
Home Page: https://rfm.rsquaredacademy.com/
customer-segmentation,This repository contains solutions to the 3 different tasks that must be performed during the data analytics virtual internship provided by KPMG via Forage.
User: sarah-2510
customer-segmentation,Segmented customers based on Recency,Frequency & Monetary Value (RFM) metrics using K-means clustering algorithm
User: siddharth271101
customer-segmentation,The python version of the lab exercises from the coursera class Foundation of marketing analytics.
User: skacem
customer-segmentation,Foundations of strategic business analytics (in Python) by ESSEC Business School
User: skacem
customer-segmentation,Python Package for RFM Analysis and Customer Segmentation
User: sonwanesuresh95
customer-segmentation,Customer segmentation using k-modes unsupervised clustering
User: stuart-d-king
Home Page: http://ec2-52-200-8-2.compute-1.amazonaws.com:8105/
customer-segmentation,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.
User: ugis22
customer-segmentation,Showcase for using H2O and R for scoring for marketing campaign in retail
Organization: wlogsolutions
customer-segmentation,The aim of this project is to build customer segmentation models for a delivery app using Kmena and DBSCAN.
User: zarahshibli
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