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:
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.β26Updated 10 months ago
- π Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecasterβ115Updated 2 months ago
- Repository for the explanation method Calibrated Explanations (CE)β70Updated this week
- Integrated tool for model development and validationβ33Updated last month
- This project introduces Causal AI and how it can drive business value.β53Updated last year
- Quantile Regression Forests compatible with scikit-learn.β250Updated last week
- β24Updated 2 months ago
- A Library for Conformal Hyperparameter Tuningβ104Updated 2 weeks ago
- APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinaβ¦β40Updated 3 weeks ago
- Forecasting: principles and practice in pythonβ199Updated 2 years ago
- Python implementation of binary and multi-class Venn-ABERS calibrationβ191Updated 2 months ago
- β115Updated last year
- A framework for calibration measurement of binary probabilistic modelsβ29Updated last year
- Helper functions to plot, evaluate, preprocess and engineer features for forecastingβ94Updated this week
- A python package for time series forecasting with scikit-learn estimators.β162Updated last year
- Code repository for the online course "Feature Engineering for Time Series Forecasting".β193Updated 2 years ago
- This repo houses the data and project: Ecuador Retail Store Sales.β14Updated last year
- Conformal Anomaly Detectionβ51Updated this week
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learnerβ17Updated 6 months ago
- β33Updated last year
- WarpGBM: High-Speed Gradient Boostingβ94Updated 2 weeks ago
- β41Updated 11 months ago
- Slides for "Feature engineering for time series forecasting" talkβ62Updated 3 years ago
- Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Pythonβ62Updated 4 months ago
- Modern Time Series Forecasting with Python 2E, Published by Packtβ180Updated 3 weeks ago
- β32Updated 2 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating tβ¦β64Updated 9 months ago
- Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.β29Updated last month
- Practical Guide to Applied Conformal Prediction, published by Packtβ193Updated 3 weeks ago
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecastingβ27Updated 2 years ago