[Script]: Customer Segmentation Engine for Mall Customers

[ayush-09]

Aim

Customer segmentation is a crucial process for businesses to identify distinct groups of customers based on their characteristics, behaviors, and preferences. This project aims to perform customer segmentation for a mall using a dataset of mall customers. The goal is to understand the different customer segments and provide insights for targeted marketing strategies.

Objectives:

Analyze the dataset to gain insights into the customers' characteristics and behaviors. Perform data visualization to understand the distribution of variables and identify potential patterns. Apply clustering algorithms to segment customers based on their annual income, spending score, and age. Evaluate and interpret the resulting customer segments to provide actionable recommendations for marketing strategies.

Details

Methodology:

• Data preprocessing: Clean the dataset, handle missing values (if any), and perform necessary transformations.
• Exploratory Data Analysis (EDA): Visualize the data using various plots and graphs to understand the distribution, correlations, and trends.
• Descriptive statistics: Calculate summary statistics to gain insights into the dataset.
• Clustering analysis: Utilize K-means clustering algorithm to segment customers based on their annual income, spending score, and age.
• Visualization of customer segments: Visualize the clusters to understand the characteristics of each segment and identify actionable insights.

Record

• [X] I agree to follow this project's Code of Conduct
• [X] I'm a GSSoC'23 contributor
• [X] I want to work on this issue

[ayush-09]

@Yashbhadiyadra Please check this issue

[avinashkranjan]

Go Ahead @ayush-09