Shivanandroy / CategoricalEmbedderLinks
Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
☆25Updated 5 years ago
Alternatives and similar repositories for CategoricalEmbedder
Users that are interested in CategoricalEmbedder are comparing it to the libraries listed below
Sorting:
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- Developmental tools to detect data drift☆16Updated last year
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- Example usage of scikit-hts☆57Updated 2 years ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- CBM Encoding☆19Updated 4 years ago
- This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…☆74Updated 6 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 3 years ago
- Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory☆45Updated 6 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆118Updated 2 years ago
- Random stuff I've been working on☆28Updated last year
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Smart, automatic detection and stationarization of non-stationary time series data.☆29Updated 2 years ago
- Guide for applying Unit Testing in data-driven projects☆19Updated 5 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 4 months ago
- ☆51Updated 6 years ago
- Python package for Gower distance☆78Updated last year
- ☆20Updated 5 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 3 months ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 years ago
- Quick Implementation in python☆52Updated 5 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Framework for typical Kaggle ensembling☆9Updated 6 years ago
- TabNet for fastai☆124Updated 2 months ago
- Top 3% solution for Kaggle M5 Accuracy competition☆23Updated 4 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- scikit-learn compatible tools for building credit risk acceptance models☆100Updated 4 months ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- Feature engineering package with sklearn like functionality☆54Updated 9 months ago