uplift-modeling

There are 8 repositories under uplift-modeling topic.

causalml
uber / causalml
Uplift modeling and causal inference with machine learning algorithms
incubation machine-learning causal-inference uplift-modeling
Language:Python 4818
scikit-uplift
maks-sh / scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
uplift-modeling causal-inference uplift machine-learning causality individual-treatment-effects true-lift net-lift uplift-modelling
Language:Python 699
DataCanvasIO / YLearn
YLearn, a pun of "learn why", is a python package for causal inference
causal-inference causality causal-models causal-discovery causality-analysis causality-algorithms uplift uplift-modeling policy-learning
Language:Python 381
causallift
Minyus / causallift
CausalLift: Python package for causality-based Uplift Modeling in real-world business
uplift-modeling uplift causal-inference causality counterfactual propensity-score propensity-scores econometrics causal-impact
Language:Python 334
DSXiangLi / Paper_CausalInference_abtest
因果推理&AB实验相关论文小书库
causalinference abtest hte cuped mediation quasi-experimental uplift-modeling double-ml
196
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
digital-marketing-analytics marketing-dashboard attribution-model uplift-modeling rfm-analysis marketing-mix-modeling
Language:Jupyter Notebook 187
haowei01 / pytorch-examples
train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
learning-to-rank lambdarank pytorch-implementation pytorch-ranking ranknet ndcg inverse-propensity-score positional-bias uplift-modeling heterogeneous-treatment-effects
Language:Python 170
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】
causal-inference causal-machine-learning causal-models uplift-modeling
Language:Jupyter Notebook 85
rsyi / pylift
Uplift modeling and evaluation library. Actively maintained pypi version.
model-uplift uplift uplift-modeling causal-inference causal-models
Language:Python 70
causeinfer
andrewtavis / causeinfer
Machine learning based causal inference/uplift in Python
causal-inference machine-learning treatment-effects uplift-modeling causality data-science statistics econometrics python uplift ab-testing open-source dataset data-analysis data-visualization python3
Language:Python 56
kailiang-zhong / DESCN
Implementation of paper DESCN, which is accepted in SIGKDD 2022.
casual-inference treatment-effects uplift-modeling kdd2022 sigkdd deep-learning
Language:Jupyter Notebook 47
Nikhilkohli1 / Olist-Marketing-Analytics
Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment
rfm-analysis recommender-system customer-segmentation cohort-analysis uplift-modeling
Language:Jupyter Notebook 33
pyuplift
duketemon / pyuplift
Lightweight uplift modeling framework for Python
uplift-modeling python machine-learning marketing true-response-modeling incremental-value-marketing treatment-effects
Language:Jupyter Notebook 28
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
causal-inference machine-learning treatment-effects uplift-modeling causality data-science statistics
Language:Python 27
zahradbozorgi / CausalRulesDiscovery
https://arxiv.org/abs/2009.01561
process-mining causal-inference uplift-modeling causalml
Language:Python 22
jd-opensource / UTBoost
A powerful tree-based uplift modeling system.
causal-inference descision-tree gbm gradient-boosting uplift-modeling
Language:C++ 20
autoum
jroessler / autoum
A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects
causal-inference heterogeneous-treatment-effects individual-treatment-effects uplift-modeling machine-learning python uplift
Language:Python 18
$fractional_uplift$ google-marketing-solutions / fractional_uplift
A flexible python package for cost-aware uplift modelling.
data-science marketing python uplift-modeling
Language:Python 15
vub-dl / cs-um
Causal Simulations for Uplift Modeling
research causality uplift-modeling reinforcement-learning
Language:Python 11
imsanjoykb / Sales-and-Marketing-Analytics
This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.
customer-segmentation customer-lifetime-value churn-prediction predicting-purchase predicting-sales machine-learning market-analysis uplift-modeling market-response-model
Language:Jupyter Notebook 10
andypwyu / optimize_promotion_offers_for_Starbucks
DSND Term 2 Portfolio Exercise: Optimize promotion offers for Starbucks
optimization promotion-analysis uplift-modeling
Language:Jupyter Notebook 4
tamasdinh / starbucks-targeting
Customer targeting model to optimize promotion targeting, on simulated data from Starbucks. (work in progress)
customer-analytics marketing-analytics targeting uplift-modeling
Language:Python 3
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.
cost-optimization marketing-campaign multifaceted-intervention non-response treatment-effects uplift uplift-modeling market-campaign cost-minimization stata
Language:Jupyter Notebook 2
tongxinguo / Customer-Targeting-for-Email-Promotion
Marketing Analytics project : Promotion email targeting with uplift and causal forest model
causal-forest r uplift-modeling
2
AsmirMumin / Marketing-Campaign-Optimization-using-Profit-Uplift-Modeling
This is a project by Asmir Muminovic and Lukas Kolbe, which was created for the Applied Predictive Analytics class held by the Chair of Information Systems at the Humboldt University of Berlin
bayesian-additive-regression-trees causal-forest causal-inference causal-models profit-maximization uplift-modeling
Language:R 1
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.
feature feature-extraction finance jupyter-notebook python recommendation-system regression-analysis stock stock-market time-series time-series-analysis uplift-modeling
Language:Jupyter Notebook 1
fanfanyjs / DSND-Starbucks-Marketing
Analysing promotion effectiveness on Starbucks' reward mobile app
uplift-modeling
Language:HTML 1
minsoo9506 / causality-study
study about causality
causal-inference causality uplift-modeling
Language:Jupyter Notebook 1
CarJung / Churn_exploration
exploratory-data-analysis uplift-modeling machine-learning
Language:Jupyter Notebook 0
leowu4ever / causal-inference-items
Posts covering different causal inference topic.
causal-inference uplift-modeling jupyter-notebook python
0
mathicard / DSE-AdvMicro
Advanced Microeconomics final project for DSE
uplift-modeling microeconomics marketing-analytics
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.
causal-inference email-marketing feature-importance uplift-modeling
Language:Jupyter Notebook 0
Villagomez-Joshi-cloud / Predictive_Accuracy
An ensemble is based on the notion of combining models. While uplift modeling combines supervised modeling with A-B testing, which is a simple type of randomized experiment.
ensemble-model ensembling uplift-modeling
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.
machine-learning statistics uplift-modeling xgboost
Language:Python
mnlscn / predicting-modelling-INGBank
smote meets uplift modeling
r smote uplift-modeling oversa
Language:R

uplift-modeling

uber / causalml

maks-sh / scikit-uplift

DataCanvasIO / YLearn

Minyus / causallift

DSXiangLi / Paper_CausalInference_abtest

Nikhilkohli1 / Digital-Marketing-Analytics

haowei01 / pytorch-examples

JackHCC / Awesome-Uplift-Model

rsyi / pylift

andrewtavis / causeinfer

kailiang-zhong / DESCN

Nikhilkohli1 / Olist-Marketing-Analytics

duketemon / pyuplift

gdmarmerola / cfml_tools

zahradbozorgi / CausalRulesDiscovery

jd-opensource / UTBoost

jroessler / autoum

google-marketing-solutions / fractional_uplift

vub-dl / cs-um

imsanjoykb / Sales-and-Marketing-Analytics

andypwyu / optimize_promotion_offers_for_Starbucks

tamasdinh / starbucks-targeting

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

tongxinguo / Customer-Targeting-for-Email-Promotion

AsmirMumin / Marketing-Campaign-Optimization-using-Profit-Uplift-Modeling

BasseyIsrael / Stock-Assets-Prediction

fanfanyjs / DSND-Starbucks-Marketing

minsoo9506 / causality-study

CarJung / Churn_exploration

leowu4ever / causal-inference-items

mathicard / DSE-AdvMicro

uzairahmadxy / email_marketing_causal_analysis

Villagomez-Joshi-cloud / Predictive_Accuracy

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

mnlscn / predicting-modelling-INGBank

$fractional_uplift$ google-marketing-solutions / fractional_uplift