maj34/Machine-Learning-Project
[ 전공 프로젝트: 머신러닝 ] 백화점 고객들의 인구 통계 예측
This project helps department stores predict customer age by analyzing their purchasing information. It takes raw customer data, including transaction dates, times, and product details, and outputs an estimated age for each customer. Retail analytics managers and marketing strategists can use this to better understand their customer demographics.
No commits in the last 6 months.
Use this if you need to accurately predict the age of department store customers based on their transaction and demographic data.
Not ideal if your goal is to analyze customer behavior for non-age related predictions or if you don't have detailed transaction and customer features.
Stars
9
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 19, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/maj34/Machine-Learning-Project"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
sohds/P4DS_gaeun_allocation
2023-2 '파이썬을이용한데이터사이언스' 기말 팀 프로젝트 | 서울여자대학교 총동문회 주관 카페 '가은'의 운영효율화 전략을 위한 데이터 분석 및 머신러닝 모델 설계 |...
yamanalab/ec-darkpattern
[IEEE BigData 2022] Dark patterns in e-commerce: a dataset and its baseline evaluations
evansdoe/online_retail
The goal of this project is to build an unsupervised machine learning model that predicts...
Super-Chain/AI-Marketer
Analyze your marketing data by AI & ML algorithms without a single-line of code.
station-10/awesome-marketing-machine-learning
A curated list of awesome machine learning libraries for marketing, including media mix models,...