market-segmentation
There are 41 repositories under market-segmentation topic.
triandicAnt/FacebookCommunityDetection
Find community/segment in an attributed graph of Facebook data.
Chaganti-Reddy/EVMarket-India
Electric Vehicle Market Segmentation Analysis in India
shellshock1911/Creating-Customer-Segments
Unsupervised learning for market segmentation
aakashjhawar/commercial-centers-using-POI
Identify commercial centers using Points of Interest (POI) data by clustering these points into commercial centers/markets
TrainingByPackt/Applied-Unsupervised-Learning-with-R
Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
AlessandraMonaco/Visual-Analytics
Implementation of a d3.js Visual Analytics dashboard for Sales Analysis and Customer Segmentation in Retail
JesusTorres98/Instacart-Market-Analysis
A customer segmentation project.
samtwl/Market-Cluster-Analysis-Philippine-Demographic-Data
This repository contains the market cluster analysis performed on the Philippine's demographic data using JMP by SAS.
BrianMburu/Market_Segmentation
Notebook to Perform Market Segmentation using K-means clustering, PCA, and Auto-encoders.
Chaganti-Reddy/Case-Study-Market-Segmentation
Market Segmentation Case Study Analysis using Clustering
hayato-n/BayesianMarketSegmentation
Bayesian Market Segmentation Algorithm for Hedonic Analysis
JesusTorres98/Food-Hub-Market-Analysis
The food aggregator company has stored the data of the different orders made by the registered customers in their online portal. Identify areas of growth and improvement for a better customer experience.
mamomen1996/R_CS_09
Customers RFM Clustering (Market Segmentation based on Behavioral Approach)
rajtulluri/Mall-Customers-Clustering
Clustering the Mall customers to analyze the different market segments of the Mall
swghosh/Campaign-Treasurer-Companion-News-Price-Auto-Script
A web server that switches the functionality of an automated time factored publishing of news and prices to Campaign Treasurer Web App based on a preset updates.
kabatyy/credit-card-customer-market-segmentation
In this project, the objective is to segment a portfolio of credit card users according to usage characteristics. Customer segmentation is then used by marketing department to tailor products and services specific to these customer segments.
mamomen1996/Python_CS_04
Customers RFM Clustering (Market Segmentation based on Behavioral Approach)
MsTao-68/NEPV-Tesla-business-report
- Using data crawler, data virtualization, public opinion detection, etc to make NEPV & Tesla business report
pmannuel/BubblyBeverages
The beverage choice that accompanies most American pastime is divided between 🍺 Beer and 🥤 Soda. A market segmentation is performed to study this division - brands, demographic, profit - with the goal of target marketing.
Shivi2599/Trainity-Internship-Projects
January 2024 - March 2024
apoorvadudani/Market-Evaluation-for-Espresso-Machines-using-Conjoint-Analysis
I help an espresso machine manufacturer assess the product attribute preferences coffee drinkers have while purchasing espresso machines using conjoint analysis in Microsoft Excel
apoorvadudani/Market-Segmentation-using-Cluster-Analysis
I use R to identify and visualize target audience clusters for a shopping mall based on data collected about their shopping habits and preferences, and provide insightful business recommendations to tailor to the different needs of different consumer groups
eiliaJafari/Comprehensive-market-data-analysis
An comprehensive data analysis of a particular market and its customers.
eiliaJafari/Market_segmentation_Python
A market segmentation project with python
lokesh97jain/Crime-Analysis-and-Market-Segmentation-Using-Hierarchical-Clustering
Analyzing US crime statistics using hierarchical clustering to uncover patterns in state-level arrest data and Advanced analytics to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling.
rishim9816/RFM_Analysis_Tuscan_Lifestyle
This repository contains an analysis of customer behavior for Tuscan Lifestyles using RFM (Recency, Frequency, Monetary) analysis. The project aims to segment customers based on their historical purchasing behavior and predict their future response rates to marketing efforts
SejalKankriya/customer-insight-clustering
Advanced analytics in R to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling
Shreyaprasad21/Feynn-Market-Segmentation-McDonalds
This project was developed during a 3-month internship program at Feynn Labs. The project replicates a McDonald's case study using Python. It involves data analysis, PCA for dimensionality reduction, KMeans clustering, segment profiling, and decision tree classification for marketing segmentation,
vipulvs91/GE-5100-Product-Development
General Material Compactor: Product Development Course Project
vyomvora/Market-Segmentation-Analysis-
Market Segmentation Analysis on Agri-tech startup for BioPesticides
dmarks84/Ind_Project_Mall-Customer-Clustering--Kaggle
Independent Project - Kaggle Dataset-- I worked with the Mall Customer Segmentation Dataset, which provided a various instances of shoppers of different ages, incomes, etc. I utilized unsupervised ML clustering algorithms to identify useful customer segments.
mahaveer-rulaniya/Unsupervised-ML
Train unsupervised machine learning algorithms to perform customer market segmentation. Market segmentation is crucial for marketers since it enables them to launch targeted ad marketing campaigns that are tailored to customer's specific needs.
Shailesh-Padhariya/Market-Segmentation
This project applies KMeans clustering to segment customers based on their credit card usage patterns. Using features like balance, purchase frequency, credit limit, and payments, the model identifies distinct customer groups.
Symfa-Inc/upwork-insights
A data science and machine learning project focused on analyzing patterns in the freelance market. This repository contains code for segmenting clients and freelancers, predicting engagement success, and estimating project budget variance. The goal is to uncover actionable insights and optimize strategies for talent and project management.