Found 54 repositories(showing 30)
melllinia
No description available
ZalakHPanchal
Customer Personality Analysis - Tableau Work
Hallteon
Solving problems from the ML block of UPS tasks. The task is to analyze data from the Kaggle dataset and train a model to predict the torture with which the client will accept the offer.
oguz-deniz
No description available
This repository contains the Personality Analysis 🧐 of customers of a Grocery store 🏬 with K-means, Agglomerative, Mean shift, DBSCAN clustering. Data preprocessing -> feature engineering -> visuzalization after PCA -> clustering -> profiling.
AjayJadhavDS
CustomerPersonalityAnalysis
Vinaya139
No description available
AdityaAnandcoder99
No description available
jjenlarpayou
No description available
Gaurav-derry
Segmentation of Customer and Personality Analysis
KritikaSati
Project based on the Customer Personality Analysis using Machine Learning Algorithm
UM-S2110684
No description available
KittuPatel
CMPE - 255 - DATA MINING - TERM PROJECT
Hrithikdeep
No description available
NuraAtWork
No description available
adolfgusmories
Customer Personality Analysis Data
manashb21
No description available
wander-asb
No description available
thehaseebi
Unlock customer insights with interactive exploration of statistical tests: t-test, ANOVA, and Chi-Squared. Learn hypothesis definition, test selection, p-value calculation, and significance determination. Drive data-driven decisions for enhanced business strategies.
Bhawyank
No description available
DipongkarBarmon
No description available
rubypan
Performed clustering process with DBSCAN to find the most likely profitable segment as the target customers. Built Logistic Regression Model and K Nearest Neighbors Model to predict which customers will respond to marketing campaigns
No description available
luadamek
No description available
Thananan101
No description available
vermansumit
A machine learning project for customer personality analysis, including EDA, feature engineering, and predictive modeling
EliasYacoubDev
No description available
shafinach04
No description available
Yadsari
Explored customer data to uncover spending patterns and group customers into segments using K-Means clustering.
raphaelorange
Target appropriate customers for different products