KirillTushin / target_encoding
This package gives you the opportunity to use a Target mean Encoding.
☆15Updated 3 years ago
Alternatives and similar repositories for target_encoding:
Users that are interested in target_encoding are comparing it to the libraries listed below
- Public solution for AutoSeries competition☆72Updated 5 years ago
- ☆51Updated 6 years ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 6 years ago
- Time Series Forecasting Framework☆41Updated 2 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- Solution to Corporación Favorita Grocery Sales Forecasting Competition☆28Updated 6 years ago
- TSFresh primitives for featuretools☆36Updated 2 years ago
- A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.☆57Updated 4 years ago
- M5 Uncertainty kaggle competition, 3rd place solution☆38Updated 10 months ago
- CBM Encoding☆19Updated 3 years ago
- Kaggle Competition notebooks☆33Updated 5 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated last year
- In this repository we test AutoML approaches for time-series forecasting☆13Updated 6 years ago
- Template for Stacking (Stacked Generalization) Ensemble Method☆37Updated 9 years ago
- Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline☆79Updated 6 years ago
- General Interpretability Package☆58Updated 2 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated last year
- The 18th Place Solution to Avito Demand Prediction Challenge☆26Updated 5 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆153Updated 6 years ago
- Benchmarking different approaches for categorical encoding for tabular data☆172Updated 2 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- ☆59Updated 5 years ago
- Kaggling Home Credit Default Risk in a pipeline fashion.☆12Updated 6 years ago
- Optuna + LightGBM = OptGBM☆35Updated 2 years ago
- Python implementation of the population stability index (PSI)☆134Updated last year
- ☆34Updated 6 years ago
- ☆43Updated 5 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 4 years ago
- Hyperparameter tuning and rolling time-series forecast for machine learning models☆17Updated 7 years ago