customer-segmentation-analysis
There are 56 repositories under customer-segmentation-analysis topic.
AbhishekGit-hash/Data-Analytics-Customer-Segmentation
In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau.
Pegah-Ardehkhani/Customer-Segmentation
Customer Personality Analysis Using Clustering
pouyaardehkhani/FinancialAnalysis
This notebook provides some skills to perform financial analysis on economical data.
jjone36/Cohort
Customer Segmentation Anaylsis
avirichie/Customer-Segmentation-using-Unsupervised-Learning
This project shows how to perform customers segmentation using Machine Learning algorithms. Three techniques will be presented and compared: KMeans, Agglomerative Clustering ,Affinity Propagation and DBSCAN.
tieugem1997/CustomerSegmentation_Streamlit
A Streamlit App for Customer Segmentation Project using Kmeans Clustering (Best Choice)
Arkantos-13/RFM_Customer_Segmentation_Analysis
RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behaviour based customer segmentation. It groups customers based on their transaction history in other terms– how recently (R), how often (F) and how much (M) did they buy.
coletangsy/Customer-Analysis-Online-Retails
This project focus on customer analysis and segmentation. Which help to generate specific marketing strategies targeting different groups. RFM Analysis, Cohort Analysis, and K-means Clusters were conducted on a UK-based online retail transaction dataset with 1,067,371 rows of records hosted on the UCI Machine Learning Repository.
Jen-uis/Customer-Segmentation-Analysis
This repository contains project materials for the Spring 2024 STAT 208 class, specifically for Team 8. All materials are the property of Team 8, University of California, Riverside, A. Gary Anderson School of Management. Thank you for viewing our repository.
aifenaike/Market-Basket-Analysis-InstaCart-Orders
Can we use association mining and machine learning to understand groceries purchase? Can we predict products that a user will buy again, try for the first time or add to cart next during a session? Can we segment our customer base into several cohorts based on their preferred products and purchase behaviour?
nano-bot01/Customer-Segmentation-using-Clustering-
Customer Segmentation using Clustering (Machine Learning)
Ashutosh-Singh15/RFM-analysis
Customer Segmentaton using RFM analysis
bellamartirosyan/Customer-Segmentation-for-Mall
The goal of the project is to group consumers into clusters using the elbow approach. The project also includes scatter plots to show the relationships between the variables and dataset's columns.
geekquad/Customer-Segments
Analyzing a dataset containing data on various customers' annual spending amounts of diverse product categories for internal structure. Doing so would equip the distributor with insight into how to best structure their delivery service to meet the needs of each customer.
Hannahnv/Customer-Transaction-Analysis
Analyzing retail sales data to craft targeted marketing, elevate customer experiences, and forecast future sales.
jeffrey125/Mall-Customer-Segmentation
A dataset of Customer Profile going into a Mall Reference: https://www.kaggle.com/vjchoudhary7/customer-segmentation-tutorial-in-python
rconfa/machine-learning-customer-segmentation
This is a project for the course "Machine Learning" - Master's degree in Data Science, University Milano-Bicocca
Stephanny-Nunes/Portfolio
Data Science portfolio with projects I worked on for self-learning purpose.
evertonbin/customer-segmentation-arvato
This project develops a customer segmentation process related to a mail-order company in Germany.
fashabs/analytics-projects
This repository contains data analytics projects that are important to our day to day Machine learning activities
ferserna95/analysis-of-different-databases-
project: (Customer Personality Analysis for Marketing Optimization); database: (Customer Segmentation: Clustering)
harmanveer-2546/Supply-Chain
Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.
ManinderpreetPuri/Customer-Segmentation-and-Profiling
Customer segmentation is a pivotal task for business analytics. Customer segmentation is the process of splitting customers into different groups with similar characteristics for potential business value proposition. Many companies find that segmenting their customers enable them to communicate, engage with their customers more effectively. Future Bank is conducting an analysis on the existing customer profiles and the marketing campaign data to identify the target customers who are mostly likely to subscribe long-term deposits. As a member of the data analytics team, I am tasked to analyse historical data and develop predictive models for marketing purposes. I have used SAS Enterprise Miner and Rstudio to perform the analysis.
Senan25/RFM_Analysis_Customer_Segmentation
It is highly related to the Customer Segmentation problem, so with RFM Analysis itself as well
Sofxley/customer-segmentation
Identification and characterization of the main groups of mall customers in order to gain a deeper understanding of their needs, preferences, and behaviors.
teyang-lau/Chips_Customer_Segmentation
Conducted customer sales segmentation and affinity analysis on chip sales to identify groups to target for advertisements and promotions.
Aniketg1998/Mall-Customer-Segmentation
Data Analysis on Mall customer segmentation using python. In this project, segmented customers using kmeans algorithm and then built a classification model using various algorithms to predict to whcih cluster does a customer belong to.
bennicholson2/Customer-Clustering-and-Segmentation
*Finished* Segmentation of customer based using a variety of distributions
deepakb41/KPMG-Job-Simulation-Forage
Data Analytics virtual internship programme by KPMG AU on Forage.
FaizanFarooq3/Customer-Segmentation-with-RFM-Analysis
This project uses RFM Analysis to segment customers and enhance engagement. Implemented with Python for analysis and Power BI for visualization, it provides insights into customer behavior based on Recency, Frequency, and Monetary metrics. Explore how this tool can improve sales strategies and customer management.
Honey28Git/Customer-Segmentation-EDA
The Following is a practice on Data Visualization Project using Python. This Dataset is taken from Kaggle.com.
Satyam18g/Boxify_Sales_Analysis_and_Inventory_Insights---using_PYTHON
Sales data analysis using Excel and Python to identify key performance metrics and optimize business operations.
sibibalan/sibibalan-Bank-Campaign-Optimization
Bank Campaign Optimization: Targeting Term Deposit Customers
vaishali071017/Buy-Now-Pay-Later-Research-case-study
The growth of BNPL services and assess their impact on consumer spending habits and credit risk in the fintech sector
VishalKrish70/Data-Analytics-Customer-Segmentation
In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau.
sakshi-shende/Customer-Segmentation-and-Behavior-Analysis
Analyzed e-commerce data, applied K-means clustering for customer segmentation, and built a recommendation system, enhancing marketing and boosting sales.