takechanman1228 / Effective-Uplift-Modeling
β21Updated 9 months ago
Alternatives and similar repositories for Effective-Uplift-Modeling:
Users that are interested in Effective-Uplift-Modeling are comparing it to the libraries listed below
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.β25Updated 2 months ago
- π Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecasterβ108Updated last month
- Repository for the explanation method Calibrated Explanations (CE)β65Updated this week
- Integrated tool for model development and validationβ26Updated last week
- Various utilities for time series forecastingβ10Updated 2 years ago
- This project introduces Causal AI and how it can drive business value.β46Updated 7 months ago
- WarpGBM: High-Speed Gradient Boostingβ60Updated this week
- β32Updated last year
- This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimensβ¦β19Updated last year
- This repo houses my VN1 Forecasting Notebook for Phase One.β16Updated 5 months ago
- Modern Time Series Forecasting with Python 2E, Published by Packtβ127Updated last month
- β115Updated last year
- Conformal Anomaly Detectionβ46Updated last month
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.β42Updated this week
- Methods and tools for multistep-ahead time series conformal prediction.β35Updated last month
- A Library for Conformal Hyperparameter Tuningβ29Updated this week
- Slides for "Feature engineering for time series forecasting" talkβ59Updated 2 years ago
- Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.β28Updated 2 months ago
- Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Pythonβ50Updated 3 months ago
- Quantile Regression Forests compatible with scikit-learn.β227Updated last week
- Bayesian Structural Time Series / Unobserved Componentsβ32Updated 2 months ago
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SESβ34Updated last year
- Forecasting: Principles and Practiceβ59Updated 3 years ago
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This modelβ¦β47Updated 3 years ago
- Time series forecasting with tree ensemblesβ13Updated 3 years ago
- β33Updated 7 months ago
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecastingβ26Updated 2 years ago
- Fast window operationsβ41Updated 10 months ago
- Example usage of scikit-htsβ57Updated 2 years ago
- Python implementation of binary and multi-class Venn-ABERS calibrationβ155Updated 7 months ago