Project Description: Customer Segmentation Using Machine Learning

1. Objective: The project aims to analyze customer data to identify distinct segments within a customer base, enabling targeted marketing strategies and personalized experiences.

2. Data Collection and Preparation: We will gather data from various sources, including purchase history, demographics, and online behavior, followed by cleaning and preprocessing to ensure quality input for machine learning models.

3. Algorithm Selection and Implementation: Different machine learning algorithms, such as K-means clustering, hierarchical clustering, and DBSCAN, will be tested to determine the most effective method for segmenting customers based on their behaviors and preferences.

4. Insights and Actionable Strategies: The resulting segments will be analyzed to derive insights, leading to tailored marketing campaigns, optimized product offerings, and improved customer retention strategies based on the characteristics of each segment.