zhouyonglong / Multi-Channel-AttributionLinks
Multi Channel Attribution
☆10Updated 8 years ago
Alternatives and similar repositories for Multi-Channel-Attribution
Users that are interested in Multi-Channel-Attribution are comparing it to the libraries listed below
Sorting:
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆116Updated 3 years ago
- Uplift modeling package.☆376Updated 3 years ago
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆40Updated 5 years ago
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆256Updated 6 years ago
- A Python package for propensity score matching☆54Updated 4 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- ☆60Updated 6 years ago
- Supervised Prediction of High Value Retail E-Commerce Customers Using Survival and LTV Analyses☆30Updated 11 years ago
- ☆136Updated 7 years ago
- An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"☆61Updated 6 years ago
- This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.☆144Updated 7 years ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆78Updated 2 years ago
- Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle☆38Updated 8 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆155Updated 7 years ago
- Automated feature engineering in Python with Featuretools☆520Updated 6 years ago
- ☆102Updated 9 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆72Updated 8 months ago
- Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development☆59Updated 5 years ago
- Python implementation of the population stability index (PSI)☆143Updated 2 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 9 years ago
- Scorecard Development in R, 评分卡☆168Updated 4 months ago
- Tutorial how to use xgboost☆192Updated 9 years ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆325Updated 5 years ago
- 2nd Place Solution of the Kaggle Competition - Santander Product Recommendation☆178Updated 3 years ago
- Unwrapping decision trees and random forests to make them less of a black box☆63Updated 8 years ago
- Comparison of XGBoost and LightGBM (speed, accuracy and complexity)☆21Updated 7 years ago
- 2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction☆155Updated 6 years ago
- ☆34Updated 7 years ago
- A tool for analyzing feature importance of xgboost model. idea came from R version xgboostExplainer☆42Updated 7 years ago
- ☆289Updated 2 years ago