Fashion Recommendations: Case Study

Download the dataset below to solve this Data Science case study on Fashion Recommendations. Dataset Source: Myntra)

Fashion Recommendations: Case Study

A recommendation system is one of the applications of data science used by almost every platform to recommend products and content to its users. Many e-commerce platforms are known for the availability of the right fashionable wear for you. One of the examples is Myntra. Myntra is known for its fashion recommendations.

Here is a dataset we collected from Myntra. The dataset contains information about women’s Kurti from various brands available on Myntra. Below are all the features in the dataset:

  1. Brand Name: The brand name of the product
  2. Product URL: The URL of the product on Myntra
  3. Image: The URL of the image of the product
  4. Product Ratings: The overall ratings of the product
  5. Number of ratings: The total number of ratings of the product
  6. Product Info: The title of the product
  7. Selling Price: The selling price of the product
  8. Price: The price of the product before the discount
  9. Discount: Total discount on the product

You are required to generate fashion recommendations to recommend the most trending products to help users find the trending fashion.

References to Solve this Data Science Case Study