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 folder contains Jupyter Notebook files related to Explanatory Data Analysis from the Customer Personality Analysis dataset

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.

Analyze the customer personality behaviours so that we can target the right customers to transact on the company's platform.

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.

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.