Big Brands spend a significant amount on popularizing a product. Nevertheless, their efforts go in vain while establishing the merchandise in the hyperlocal market. Based on different geographical conditions same attributes can communicate a piece of much different information about the customer. Hence, insights this is a must for any brand owner.
In this competition, we have brought the data gathered from one of the top apparel brands in India. Provided the details concerning category, score, and presence in the store, participants are challenged to predict the popularity level of the merchandise.
The popularity class decides how popular the product is given the attributes which a store owner can control to make it happen.
- Train.csv - 18208 rows x 12 columns (Includes popularity Column as Target variable)
- Test.csv - 12140 rows x 11 columns
- Sample Submission.csv - Please check the Evaluation section for more details on how to generate a valid submission
- store_ratio
- basket_ratio
- category_1
- store_score
- category_2
- store_presence
- score_1
- score_2
- score_3
- score_4
- time
- popularity - Class of popularity (Target Column)
