station-10/awesome-marketing-machine-learning
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
This curated list helps marketing professionals and data scientists find the right tools to analyze marketing campaign effectiveness. It takes in raw marketing and customer journey data, and outputs insights on channel attribution, customer lifetime value, and the true impact of marketing spend. Marketers, data analysts, and marketing data scientists who need to quantify marketing ROI or optimize ad spend will find this useful.
130 stars. No commits in the last 6 months.
Use this if you need to choose a machine learning library to solve specific marketing challenges like understanding which channels drive conversions, predicting customer churn, or measuring the incremental impact of marketing campaigns.
Not ideal if you are looking for an out-of-the-box software solution or a step-by-step guide to implement a specific marketing strategy.
Stars
130
Forks
11
Language
—
License
MIT
Category
Last pushed
May 01, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/station-10/awesome-marketing-machine-learning"
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.
nurimammasri/Marketing-Campaign-Model-Prediction-by-Datalicious
This machine learning is made to fulfill the final project of Rakamin Academy Bootcamp of Data...