#计算机科学#Uplift modeling and causal inference with machine learning algorithms
翻译 - 利用机器学习算法进行提升建模和因果推理
#计算机科学#❗ uplift modeling in scikit-learn style in python 🐍
YLearn, a pun of "learn why", is a python package for causal inference
CausalLift: Python package for causality-based Uplift Modeling in real-world business
This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social M...
train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】
Uplift modeling and evaluation library. Actively maintained pypi version.
#计算机科学#Implementation of paper DESCN, which is accepted in SIGKDD 2022.
#计算机科学#Machine learning based causal inference/uplift in Python
Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment
A flexible python package for cost-aware uplift modelling.
#计算机科学#My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable and useful in the business context
#计算机科学#Lightweight uplift modeling framework for Python
A powerful tree-based uplift modeling system.
#计算机科学#A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects
#计算机科学#This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.
Causal Simulations for Uplift Modeling