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:
- Developmental tools to detect data drift☆16Updated last year
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆118Updated 2 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 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
- Example usage of scikit-hts☆57Updated 3 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated last year
- TabNet for fastai☆124Updated 4 months ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆107Updated 3 years ago
- Applied Machine Learning with Python☆80Updated last year
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 years ago
- Example of using catboost regressor with sklearn pipelines.☆12Updated 5 years ago
- CBM Encoding☆19Updated 4 years ago
- A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras☆46Updated 2 weeks ago
- Random stuff I've been working on☆28Updated last year
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- Feature engineering package with sklearn like functionality☆56Updated 11 months ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆62Updated 2 years ago
- Quick Implementation in python☆53Updated 5 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…☆135Updated 6 months ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Data Analysis Baseline Library☆133Updated 10 months ago
- Benchmarking different approaches for categorical encoding for tabular data☆172Updated 3 years ago
- Wrap-up to automatically tune xgboost in Python.☆80Updated 4 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago