Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About

The Top 19 Customer Segmentation Open Source Projects

Open source projects categorized as Customer Segmentation
Categories > Customer Segmentation
Dittofeed ⭐ 914
Automate messages across email, SMS, webhooks, & native mobile push 📨 💬 📧
most recent commit 5 months ago
Retentioneering Tools ⭐ 715
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.
total releases 42most recent commit 7 months ago
Rfm Analysis ⭐ 134
Python script (and IPython notebook) to perform RFM analysis from customer purchase history data
most recent commit 5 years ago
Kaggle Notebooks ⭐ 96
Sample notebooks for Kaggle competitions
most recent commit 3 years ago
Customer Lifetime Prediction Using Python ⭐ 72
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.
most recent commit 2 years ago
Retail Segmentation Based Marketing Campaing In R And H2o ⭐ 51
Showcase for using H2O and R for scoring for marketing campaign in retail
most recent commit 6 years ago
Rfm ⭐ 50
Tools for Customer Segmentation using RFM Analysis
dependent packages 1total releases 3most recent commit 10 months ago
Machine Learning ⭐ 41
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
most recent commit 8 months ago
Customer_segmentation ⭐ 38
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.
most recent commit 6 years ago
Instacart Market Basket Analysis ⭐ 17
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.
most recent commit 2 years ago
Clustering_analysis ⭐ 12
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.
most recent commit 4 years ago
Customer_segmentation ⭐ 10
Unsupervised ML: Finding Customer Segments in General Population
most recent commit 5 years ago
Customer Segmentation Using Clustering Algorithms ⭐ 8
Customer Segmentation Using Unsupervised Machine Learning Algorithms
most recent commit a year ago
Rfm_analysis ⭐ 8
customer segmentation with rfm
most recent commit 3 years ago
Php_customers_segmentation ⭐ 8
Can we do Customers Segmentation using PHP and Unsupervized Machine Learning ? Yes we can ! 🤡
most recent commit 2 years ago
Marketing Analytics Foundations ⭐ 7
The python version of the lab exercises from the coursera class Foundation of marketing analytics.
most recent commit 2 years ago
2022 Bigcontest ⭐ 7
[ 공모전 ] 다각적 모델을 활용한 대출 신청 여부 예측과 고객 군집 별 서비스 메시지 제안 : 이상치 탐지, 머신러닝, 딥러닝 모델
most recent commit a year ago
Homer_segmentation ⭐ 7
Customer segmentation using k-modes unsupervised clustering
most recent commit 7 years ago
K Means_customer_segmentation ⭐ 6
Using K-Means algorithm for customer segmentation due to credit card behavior
most recent commit 3 years ago
The 2 Latest Releases In Customer Segmentation Open Source Projects
Categories
Privacy | About | Terms | Follow Us On Twitter

Downloads, Dependent Repos, Dependent Packages, Total Releases, Latest Releases data powered by Libraries.io.

Copyright 2018-2024 Awesome Open Source.  All rights reserved.