Hands-on Machine Learning, Unsupervised Learning, Clustering
Title: "Customer Segmentation for Targeted Marketing"
Business Objective: "To identify distinct customer segments within the mall's clientele in order to optimize marketing strategies and effectively target potential customers."
Approach: Obtain customer data from Kaggle. Conduct exploratory data analysis (EDA) to gain insights into customer demographics and behavior. Apply clustering models to group customers into distinct segments. Evaluate the performance of clustering algorithms. Develop marketing strategies tailored to each customer segment to enhance conversion rates and overall mall performance.
Tools Used: Python (for data analysis), Kaggle dataset, Scikit-Learn (for clustering algorithms), Data Visualization libraries, and business strategy formulation.