silviomori/udacity-machine-learning-capstone-starbucks
Machine Learning Engineer - Capstone Project - Development of a recommendation system to send offers via direct marketing
This project helps marketing teams determine which types of promotions (like discounts or 'buy one get one free' offers) resonate best with different customer groups. By analyzing customer demographics, past transactions, and how people responded to previous offers, it identifies the most effective offer for each customer. The output is a recommended offer tailored to individual customer profiles, intended for a marketing or customer relationship manager.
No commits in the last 6 months.
Use this if you manage customer promotions and want to optimize which offers to send to different segments of your audience to maximize engagement and sales.
Not ideal if your business sells many different products and you need to recommend specific products in addition to offer types, as this model focuses on offer type recommendations for a single product.
Stars
11
Forks
10
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 13, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/silviomori/udacity-machine-learning-capstone-starbucks"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Vaibhav67979/Ecommerce-product-recommendation-system
Product Recommendation System is a machine learning-based project that provides personalized...
rosetta-ai/rosetta_recsys2019
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
the-markup/investigation-amazon-brands
Materials to reproduce our findings in our stories, "Amazon Puts Its Own 'Brands' First Above...
LaxmiChaudhary/Amzon-Product-Recommendation
Building Recommendation Model for the electronics products of Amazon
JingyibySUTsoftware/ECRS_Web
基于深度学习的商品推荐系统,高性能,可承受高并发,可跨平台