-
Notifications
You must be signed in to change notification settings - Fork 0
hrishivib/recommender-system
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
Both the files can be directly run from cmd as these are .py files. File: recommender_system_approach_1.py Detail: Code for predicting ratings using sklearn regression packages. Implementation of regression function can be found at line no.156 File recommender_system_approach_2.py Detail: Code for predicting ratings by creating CSR matrix and KNN. Implemenatation of this can be found on line no. 72 and 132
About
Implementation of recommender system with two approach in python programming language
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published