DataCanvasIO / WAIC-2022-Hackathon-Causal-Learning-and-Decision-Optimization-Challenge
WAIC 2022 Hackathon Causal Learning and Decision Optimization Challenge
☆6Updated 2 years ago
Alternatives and similar repositories for WAIC-2022-Hackathon-Causal-Learning-and-Decision-Optimization-Challenge:
Users that are interested in WAIC-2022-Hackathon-Causal-Learning-and-Decision-Optimization-Challenge are comparing it to the libraries listed below
- ☆10Updated last year
- An open source python library for automated feature engineering based on Genetic Programming☆142Updated last week
- ☆39Updated 3 years ago
- mtgbmcode☆170Updated 2 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆15Updated 5 years ago
- YLearn, a pun of "learn why", is a python package for causal inference☆413Updated 6 months ago
- PAKDD AutoML challenge 2nd Feature Engineering Part☆71Updated 4 years ago
- Build a python version causal inference model for Pcalg☆19Updated 5 years ago
- This project is a research on how to extract rules from the existing data using trained Decision Tree. The dataset used to train the mode…☆15Updated 5 years ago
- A High-level Scorecard Modeling API | 评分卡建模尽在于此☆78Updated 2 years ago
- TransBoost algorithm for transfer learning☆34Updated 2 years ago
- pytorch implementation of dragonnet☆37Updated 2 years ago
- An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras☆30Updated 3 years ago
- 分别基于statsmodels和scikit-learn实现两种可用于sklearn pipeline的 LogisticRegression,并输出相应的报告☆20Updated last year
- risk_model☆26Updated 2 years ago
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆12Updated 9 months ago
- OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, cau…☆71Updated last year
- Time Series Forecasting with LightGBM☆83Updated 2 years ago
- A toolkit for extracting comprehensible rules from tree-based algorithms☆42Updated 6 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆76Updated last year
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated 7 months ago
- Weight of Evidence,基于iv值最大思想求最优分箱☆14Updated 5 years ago
- 🛠 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】☆126Updated last year
- 《智能风控——原理、算法与工程实践》☆27Updated 3 years ago
- DCIC2023 Fraud Risk Identification Competition Solution.☆25Updated last year
- 关于评分卡的基本流程☆68Updated 5 years ago
- Risk scorecard develop tool welcome to use☆17Updated 3 years ago
- Python Implementation of Monotonic Optimal Binning☆15Updated last year
- ☆26Updated 6 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆249Updated 5 years ago