Topic: customer-segmentation-analysis Goto Github
Some thing interesting about customer-segmentation-analysis
Some thing interesting about customer-segmentation-analysis
customer-segmentation-analysis,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.
User: abhishekgit-hash
customer-segmentation-analysis,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?
User: aifenaike
customer-segmentation-analysis,Customer segmentation using Python and PowerBI
User: aimmanuel
customer-segmentation-analysis,Customer Segmentation using RFM analysis
User: ali-jb
customer-segmentation-analysis,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.
User: aniketg1998
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.
User: arkantos-13
customer-segmentation-analysis,Customer Segmentaton using RFM analysis
User: ashutosh-singh15
customer-segmentation-analysis,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.
User: avirichie
customer-segmentation-analysis,Customer Segmentation Report for Arvato Financial Services. Analyzing demographics data for customers of a mail-order sales company in Germany and identifying most suitable parts of general population whom are most likely to be converted to customers through marketing campaigns.
User: baoh13
Home Page: https://github.com/baoh13/ml-capstone
customer-segmentation-analysis,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.
User: bellamartirosyan
customer-segmentation-analysis,E-commerce site data preparation and sales analysis to answer customer profile and sales questions
User: casperjaa
customer-segmentation-analysis,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.
User: coletangsy
customer-segmentation-analysis,Data Analytics virtual internship programme by KPMG AU on Forage.
User: deepakb41
customer-segmentation-analysis,In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python .
User: dikshashub
customer-segmentation-analysis,This project develops a customer segmentation process related to a mail-order company in Germany.
User: evertonbin
customer-segmentation-analysis,This repository contains data analytics projects that are important to our day to day Machine learning activities
User: fashabs
customer-segmentation-analysis,Customer segmentation in Instacart. K-means, RFM Analysis.
User: gabrielhpr
customer-segmentation-analysis,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.
User: geekquad
customer-segmentation-analysis,Analyzing retail sales data to craft targeted marketing, elevate customer experiences, and forecast future sales.
User: hannahnv
customer-segmentation-analysis,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.
User: harmanveer-2546
customer-segmentation-analysis,The Following is a practice on Data Visualization Project using Python. This Dataset is taken from Kaggle.com.
User: honey28git
Home Page: https://www.kaggle.com/datasets/ravalsmit/customer-segmentation-data
customer-segmentation-analysis,A dataset of Customer Profile going into a Mall Reference: https://www.kaggle.com/vjchoudhary7/customer-segmentation-tutorial-in-python
User: jeffrey125
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.
User: jen-uis
customer-segmentation-analysis,Customer Segmentation Anaylsis
User: jjone36
customer-segmentation-analysis,Identifies the parts of the Germany population that best describe the core customer base of the Arvato company. Uses a supervised model to predict which individuals are most likely to convert into becoming customers for the company.
User: karolrives
customer-segmentation-analysis,This project aims to perform customer segmentation on a Mall customer dataset using the K-Means clustering algorithm. The goal of this project is to cluster the customers based on their purchasing behavior and demographic characteristics.
User: kshitizrohilla
customer-segmentation-analysis,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.
User: maninderpreetpuri
customer-segmentation-analysis,Data Scientist Bootcamp capstone project
User: melisnv
Home Page: https://churn-ml-capstone-project.streamlit.app/
customer-segmentation-analysis,This project involves segmenting customers based on their purchase behavior using K-means algorithm.
User: monjiabn
customer-segmentation-analysis,Customer Segmentation using Clustering (Machine Learning)
User: nano-bot01
customer-segmentation-analysis,This is a Customer Segmentation model made in Python
User: panosgor
customer-segmentation-analysis,Customer Personality Analysis Using Clustering
User: pegah-ardehkhani
customer-segmentation-analysis,This notebook provides some skills to perform financial analysis on economical data.
User: pouyaardehkhani
customer-segmentation-analysis,This is a project for the course "Machine Learning" - Master's degree in Data Science, University Milano-Bicocca
User: rconfa
customer-segmentation-analysis,Helped their client optimize their marketing strategy by recommending high-value customers,
User: rubina-bansal
customer-segmentation-analysis,This project helps any company or market to target their desired customers or clients by clustering people according to their needs, behaviour and preferences so that they could improve their overall business performance.
User: sanchariii
customer-segmentation-analysis,Capstone Project for the Data Scientist Nanodegree by Udacity.
User: satyajitovelil
customer-segmentation-analysis,It is highly related to the Customer Segmentation problem, so with RFM Analysis itself as well
User: senan25
customer-segmentation-analysis,Bank Campaign Optimization: Targeting Term Deposit Customers
User: sibibalan
customer-segmentation-analysis,Using the [Online Retail dataset](https://archive.ics.uci.edu/ml/datasets/Online+Retail) from the UCI Machine Learning Repository for exploratory data analysis, ***Customer Segmentation***, ***RFM Analysis*** and ***Clustering*** with machine learning unsupervised algorithms
User: sinabaghdadi
customer-segmentation-analysis,Identification and characterization of the main groups of mall customers in order to gain a deeper understanding of their needs, preferences, and behaviors.
User: sofxley
customer-segmentation-analysis,The purpose of this project was to perform customer segmentation on mall customers using sklearn Kmeans algorithm. Exploratory data analysis was first performed on the dataset to understand the data. Silhouette analysis was then used to determine the best number of clusters using age, annual income and spending score assigned to customers based on spending habit.
User: solapade
customer-segmentation-analysis,Data Science portfolio with projects I worked on for self-learning purpose.
User: stephanny-nunes
customer-segmentation-analysis,SegmentWise: Unveiling Customer Insights for Exploratory Data Analysis (EDA) and Customer Segmentation
User: talhafarook
customer-segmentation-analysis,Conducted customer sales segmentation and affinity analysis on chip sales to identify groups to target for advertisements and promotions.
User: teyang-lau
customer-segmentation-analysis,A Streamlit App for Customer Segmentation Project using Kmeans Clustering (Best Choice)
User: tieugem1997
Home Page: https://gui-customersegmentation-nguyenthanhtrong.streamlit.app/
customer-segmentation-analysis,EDA and comparisons of various on Bank customer data using pycaret
User: tknishh
customer-segmentation-analysis,The growth of BNPL services and assess their impact on consumer spending habits and credit risk in the fintech sector
User: vaishali071017
customer-segmentation-analysis,Data Science - Capstone Project
User: vrayanoothala
customer-segmentation-analysis,The idea of this challenge was to cluster customers based on a given dataset to align the marketing efforts. Four customer groups were characterized based on income, buying power, credit score, and other criteria
User: zitzewiz
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