Product Popularity Prediction refers to the process of predicting which products are likely to be popular (i.e, in high demand or purchased frequently) based on historical data like sales, customer behavior, and product characteristics.
-
Notifications
You must be signed in to change notification settings - Fork 3
Product Popularity Prediction refers to the process of predicting which products are likely to be popular (i.e., in high demand or purchased frequently) based on historical data like sales, customer behavior, and product characteristics.
License
KishoreB25/Machine-Learning-Based-Product-Popularity-Prediction-Using-Online-Retail-Data
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Product Popularity Prediction refers to the process of predicting which products are likely to be popular (i.e., in high demand or purchased frequently) based on historical data like sales, customer behavior, and product characteristics.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published