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Product Recommendation System

Started ‎02-23-2021 by
Modified ‎10-20-2022 by
Views 1,901
 
Team Name NECHACKSAS
Track Banking; Product Recommendation
Use Case NEC have developed a Customer Propensity Module to identify a customer’s likelihood to purchase along with a Product Affinity Module to identify the most likely product to be purchased. A short pitch video and long pitch video have been uploaded.
Technology Python and Machine Learning, SAS
Region NOIDA INDIA
Team lead Rohit B.Javir
Team members @Rohit_NEC  @gkgeet @shailentewathia @VishalGupta @SoumyaSwaroop @Ankit14
(view in My Videos)

                                                                                                              
(view in My Videos)

 

 
 
Version history
Last update:
‎10-20-2022 12:14 PM
Updated by:

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