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Vintage Car Segmentation
Project type
Data Science
Applied PCA and t-SNE on the Auto MPG dataset to segment vintage cars for a fictional dealership, SecondLife. Key Highlights:
Identified 3 vintage car segments based on fuel efficiency, performance, and engine characteristics.
Provided business recommendations for marketing, pricing, and procurement strategies.
Tools: Python, Pandas, Scikit-learn, Matplotlib.
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