This repository contains the code and analysis for customer segmentation using the Mall Customers Dataset. Customer segmentation is a crucial task for businesses to understand their customer base and tailor their marketing strategies accordingly. By leveraging machine learning techniques, this project aims to identify distinct customer segments based on various features provided in the dataset.

The Mall Customers Dataset consists of the following features:

• CustomerID: Unique identifier for each customer
• Gender: Gender of the customer
• Age: Age of the customer
• Annual Income (k$): Annual income of the customer
• Spending Score (1-100): Spending score assigned to the customer based on their purchasing behavior and other factors

The analysis in this repository utilizes various machine learning and clustering technique to segment the customers based on their characteristics. The process involves data preprocessing, exploratory data analysis, feature engineering, and applying clustering algorithm like K-Means to identify distinct customer segments.

Directory containing the Mall Customers Dataset

• Jupyter notebooks with the analysis and code for customer segmentation
• README.md: Overview of the repository and instructions for running the code

To use this repository, follow these steps:

1. Clone the repository to your local machine.
2. Navigate to the Main directory and open the Jupyter notebooks to explore the analysis and code.
3. Refer to the documentation within the notebooks for detailed explanations of the analysis and methodologies used.

Customer segmentation is a powerful tool for businesses to understand their customer base and make informed decisions. By leveraging the Mall Customers Dataset and applying machine learning techniques, this repository aims to provide insights into customer segmentation and its potential applications for marketing strategies and business growth.

Feel free to explore the code and analysis in this repository to gain a deeper understanding of customer segmentation using the Mall Customers Dataset.