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Ten Retail Data Analytics Projects, Heavy Focus on ML. Emphasis on consumer behavior.

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repeat-purchase cross-sell personalized-recommendation campaign-analytics loyalty-analytics market-basket-analysis a-b-testing ctr-prediction segmentation-evaluation

retail-data-analytics's Introduction

Retail-Data-Analytics

ten projects regarding retail data

Data from Dunnhumby, Victoria's Secret, Calvin Klein, Amazon, American Eagle, Hanky Panky, Nordstrom, Topshop USA, Btemptd, Macy's Libraries used: Pandas, Numpy, Seaborn, Facebook's Prophet, sklearn

Dunnhumby Data:

  • 8 CSV's
  • 1 product info CSV, 1 consumer info CSV, 1 transaction info CSV
  • the other five are regarding campaigns and coupons

Innerwear Data:

  • 9 CSVs, one for each retailer
  • No transaction or customer data, but information/statistical inferences can be made about pricing, rating, descriptions (NLP), and so on

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