Analyzing customer data of an Online retail store using Python and provide insight about the purchase trends of customers helping the retail store to make effective product development strategies to increase customer satisfaction and increase sales.
Focuses on dimensionality reduction within the vintage car market. Utilizing PCA and t-SNE techniques, the study analyzes a dataset with variables like mpg, cylinders, displacement, horsepower, and model year to identify distinct groups of vintage cars.
Add a description, image, and links to the marketsegmentation topic page so that developers can more easily learn about it.
To associate your repository with the marketsegmentation topic, visit your repo's landing page and select "manage topics."