takechanman1228 / Effective-Uplift-ModelingLinks
β23Updated last year
Alternatives and similar repositories for Effective-Uplift-Modeling
Users that are interested in Effective-Uplift-Modeling are comparing it to the libraries listed below
Sorting:
- π Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecasterβ114Updated 3 weeks ago
- Integrated tool for model development and validationβ31Updated last month
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.β26Updated 8 months ago
- This project introduces Causal AI and how it can drive business value.β51Updated last year
- Quantile Regression Forests compatible with scikit-learn.β243Updated 2 weeks ago
- Repository for the explanation method Calibrated Explanations (CE)β70Updated last week
- WarpGBM: High-Speed Gradient Boostingβ92Updated last week
- A python package for time series forecasting with scikit-learn estimators.β162Updated last year
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating tβ¦β65Updated 7 months ago
- β24Updated last month
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SESβ38Updated last year
- β40Updated 9 months ago
- Python implementation of binary and multi-class Venn-ABERS calibrationβ191Updated 3 weeks ago
- Helper functions to plot, evaluate, preprocess and engineer features for forecastingβ89Updated last week
- Forecasting: principles and practice in pythonβ191Updated 2 years ago
- TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and deteβ¦β235Updated 2 weeks ago
- β32Updated 2 years ago
- β33Updated last year
- Modern Time Series Forecasting with Python 2E, Published by Packtβ171Updated last month
- β115Updated last year
- Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Pythonβ57Updated 3 months ago
- Slides for "Feature engineering for time series forecasting" talkβ62Updated 2 years ago
- Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more β¦β104Updated last week
- Time series forecasting with tree ensemblesβ13Updated 4 years ago
- A framework for calibration measurement of binary probabilistic modelsβ29Updated last year
- Fast window operationsβ45Updated last year
- Code repository for the online course "Feature Engineering for Time Series Forecasting".β191Updated last year
- tsbootstrap: generate bootstrapped time series samples in Pythonβ83Updated 3 months ago
- A Library for Conformal Hyperparameter Tuningβ101Updated 3 weeks ago
- The Orange Book of Machine Learningβ49Updated last month