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Customer Personality Analysis Using Clustering
Using a Kaggle dataset, customer personality was analysed on the basis of their spending habits, income, education, and family size. K-Means, XGBoost, and SHAP Analysis were performed.
Data Visualization 📊 Clustering and Classification 🗂️ techniques on Customer 🛍️ & Book 📖 datasets
This study examines how customer details, business offers, and product types influence behavior, providing insights to optimize sales strategies and boost profits.
A machine learning project where I manage to cluster unlabeled dataset and train classification model to predict the clustered data.
Process marketing campaign historical data to improve performance and target the right customers so they can transact on the company's platform. from processing data, cleaning data, creating machine learning models, and drawing conclusions and business insights that can be recommended regarding the ongoing marketing campaign.
This folder contains Jupyter Notebook files related to Explanatory Data Analysis from the Customer Personality Analysis dataset
Customer Personality Analysis (CPA) is a detailed analysis of a company's ideal customer. This analysis helps businesses better understand their customers and allows them to tailor products to the specific needs, behaviors, and concerns of different customer types.
Customer Personality Analysis is a detailed analysis of a company’s ideal customers. It helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors and concerns of different types of customers.
Analyze the customer personality behaviours so that we can target the right customers to transact on the company's platform.
You will likely perform tasks like removing duplicates, handling missing values, and consistently formatting data. Data analysis and visualization: Data analysts play a key role in analyzing data to uncover insights and trends.
📊Customer Personality Analysis, using various Data Mining techniques and Machine Learning algorithms.
This repository contains a step-by-step analysis of the Customer Personality Analysis dataset from Kaggle. The goal is to clean, process, and analyze customer data to uncover insights that can help businesses understand their customers better and improve targeted marketing strategies.
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