KirillTushin / target_encodingLinks
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
Sorting:
- Public solution for AutoSeries competition☆72Updated 5 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- ☆51Updated 6 years ago
- ☆34Updated 6 years ago
- A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.☆58Updated 5 years ago
- Time Series Forecasting Framework☆41Updated 2 years ago
- Solution to Corporación Favorita Grocery Sales Forecasting Competition☆28Updated 7 years ago
- ☆60Updated 6 years ago
- ☆43Updated 6 years ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 7 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆153Updated 6 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆118Updated 2 years ago
- Benchmarking different approaches for categorical encoding for tabular data☆172Updated 3 years ago
- Python implementation of the population stability index (PSI)☆140Updated last year
- convert DataFrame to libffm data format in parallel☆30Updated 7 years ago
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆39Updated 5 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- TSFresh primitives for featuretools☆36Updated 2 years ago
- Framework for typical Kaggle ensembling☆9Updated 6 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition☆31Updated 6 years ago
- Kaggle Competition notebooks☆34Updated 6 years ago
- In this repository we test AutoML approaches for time-series forecasting☆13Updated 6 years ago
- 28th place solution to Kaggle Santander Competition 2019☆19Updated 6 years ago
- Template for Stacking (Stacked Generalization) Ensemble Method☆37Updated 9 years ago
- Kaggle 8th place solution☆107Updated last year
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- A simplified version of featuretools for Spark☆31Updated 6 years ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆22Updated 10 years ago
- Avito Demand Prediction Challenge☆56Updated 6 years ago