An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: uplift-modeling

malone-c/mckp

Fast multiple choice knapsack, optimised for settings with unequal patient treatment eligibilities

Language: Python - Size: 3.58 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

uber/causalml

Uplift modeling and causal inference with machine learning algorithms

Language: Python - Size: 109 MB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 5,357 - Forks: 806

maks-sh/scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

Language: Python - Size: 7.79 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 762 - Forks: 100

jd-opensource/UTBoost

A powerful tree-based uplift modeling system.

Language: C++ - Size: 188 KB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 30 - Forks: 2

KonstantinBurkin/uplift-modelling

Medicine intake assessment in patients with uplift modelling

Language: Jupyter Notebook - Size: 400 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

imsanjoykb/Sales-and-Marketing-Analytics

This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.

Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: 15 days ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 6

Minyus/causallift

CausalLift: Python package for causality-based Uplift Modeling in real-world business

Language: Python - Size: 5.8 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 348 - Forks: 43

google-marketing-solutions/fractional_uplift

A flexible python package for cost-aware uplift modelling.

Language: Python - Size: 1.73 MB - Last synced at: 11 days ago - Pushed at: 8 months ago - Stars: 34 - Forks: 4

rsyi/pylift 📦

Uplift modeling and evaluation library. Actively maintained pypi version.

Language: Python - Size: 7.6 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 75 - Forks: 20

DSXiangLi/Paper_CausalInference_abtest

因果推理&AB实验相关论文小书库

Size: 292 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 220 - Forks: 52

haowei01/pytorch-examples

train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

Language: Python - Size: 222 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 178 - Forks: 20

Nikhilkohli1/Digital-Marketing-Analytics

This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics

Language: Jupyter Notebook - Size: 85.9 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 214 - Forks: 63

benhorvath/wdrl

Weighted doubly robust learning for uplift modeling

Language: Jupyter Notebook - Size: 319 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

andrewtavis/causeinfer

Machine learning based causal inference/uplift in Python

Language: Python - Size: 14.3 MB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 59 - Forks: 11

minsoo9506/causality-study

study about causality

Language: Jupyter Notebook - Size: 3 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

duketemon/pyuplift

Lightweight uplift modeling framework for Python

Language: Jupyter Notebook - Size: 750 KB - Last synced at: 18 days ago - Pushed at: over 5 years ago - Stars: 28 - Forks: 3

jroessler/autoum

A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects

Language: Python - Size: 1.34 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 20 - Forks: 3

crong12/uplift-prediction

Project submission for AMEX hackathon 2024

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

DataCanvasIO/YLearn

YLearn, a pun of "learn why", is a python package for causal inference

Language: Python - Size: 12.2 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 381 - Forks: 75

mathicard/DSE-AdvMicro

Advanced Microeconomics final project for DSE

Size: 759 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

kailiang-zhong/DESCN

Implementation of paper DESCN, which is accepted in SIGKDD 2022.

Language: Jupyter Notebook - Size: 707 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 36 - Forks: 9

Nikhilkohli1/Olist-Marketing-Analytics

Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment

Language: Jupyter Notebook - Size: 31.7 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 26 - Forks: 16

gdmarmerola/cfml_tools

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

Language: Python - Size: 23.4 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 3

leowu4ever/causal-inference-items

Posts covering different causal inference topic.

Size: 4.54 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mnlscn/predicting-modelling-INGBank

smote meets uplift modeling

Language: R - Size: 677 KB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

JackHCC/Awesome-Uplift-Model

🛠 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】

Language: Jupyter Notebook - Size: 57.4 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 27 - Forks: 3

vub-dl/cs-um

Causal Simulations for Uplift Modeling

Language: Python - Size: 22.8 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 0

mazba-ahamad/Uplift-Modeling-for-Treatment-Non-Responders-through-Multifaceted-Intervention-for-Cost-Optimization

A modified uplift modeling technique to convert "treatment nonresponders" to "responders" is proposed through multifaceted interventions in market campaigns.

Language: Jupyter Notebook - Size: 72.3 KB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

zahradbozorgi/CausalRulesDiscovery

https://arxiv.org/abs/2009.01561

Language: Python - Size: 13.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 8

CarJung/Churn_exploration

Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

BasseyIsrael/Stock-Assets-Prediction

This repository provides a platform for the predicting of future stock prices based on historical stock prices. Time series analysis is extensively explored in this project. The repository also contains pipelines that can be reused for analyzing and predicting stock prices and feature extraction.

Language: Jupyter Notebook - Size: 6.9 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

imnikhilanand/Who-Is-More-Likely-To-Buy

Uplift Modeling to identify the pursuable group of users from all the users in order to send them encouragement (in terms of coupons or other offers) to buy the product more without spending resources to convert those users who are not willing or interested to buy the product even after encouragement.

Language: Python - Size: 167 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

uzairahmadxy/email_marketing_causal_analysis

Statistical analysis to see effectiveness of email marketing campaign. Used regression, DoWhy & CausalML to calculate treatment effects. Feature importance & CATE, ITEs.

Language: Jupyter Notebook - Size: 828 KB - Last synced at: 17 days ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

tamasdinh/starbucks-targeting

Customer targeting model to optimize promotion targeting, on simulated data from Starbucks. (work in progress)

Language: Python - Size: 9.89 MB - Last synced at: 11 days ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 1

Related Keywords
uplift-modeling 34 causal-inference 14 machine-learning 10 causality 7 uplift 7 python 6 treatment-effects 5 statistics 3 data-science 3 causal-models 3 recommender-system 2 econometrics 2 marketing 2 heterogeneous-treatment-effects 2 jupyter-notebook 2 rfm-analysis 2 marketing-analytics 2 individual-treatment-effects 2 customer-segmentation 2 recommendation-system 1 causal-machine-learning 1 smote 1 r 1 oversa 1 feature-importance 1 cohort-analysis 1 sigkdd 1 kdd2022 1 deep-learning 1 casual-inference 1 microeconomics 1 customer-analytics 1 regression-analysis 1 policy-learning 1 causality-analysis 1 causality-algorithms 1 causal-discovery 1 true-response-modeling 1 incremental-value-marketing 1 targeting 1 finance 1 feature-extraction 1 feature 1 exploratory-data-analysis 1 stock 1 process-mining 1 causalml 1 stock-market 1 time-series 1 time-series-analysis 1 xgboost 1 stata 1 non-response 1 multifaceted-intervention 1 marketing-campaign 1 market-campaign 1 cost-optimization 1 cost-minimization 1 research 1 email-marketing 1 reinforcement-learning 1 python3 1 double-ml 1 cuped 1 causalinference 1 abtest 1 model-uplift 1 propensity-scores 1 propensity-score 1 counterfactual 1 causal-impact 1 predicting-sales 1 predicting-purchase 1 market-response-model 1 market-analysis 1 customer-lifetime-value 1 churn-prediction 1 gradient-boosting 1 gbm 1 descision-tree 1 uplift-modelling 1 true-lift 1 net-lift 1 incubation 1 open-source 1 dataset 1 data-visualization 1 data-analysis 1 ab-testing 1 marketing-attribution 1 causal-ai 1 marketing-mix-modeling 1 marketing-dashboard 1 digital-marketing-analytics 1 attribution-model 1 ranknet 1 pytorch-ranking 1 pytorch-implementation 1 positional-bias 1 ndcg 1