kinir / catboost-with-pipelines
Example of using catboost regressor with sklearn pipelines.
☆12Updated 5 years ago
Alternatives and similar repositories for catboost-with-pipelines:
Users that are interested in catboost-with-pipelines are comparing it to the libraries listed below
- Helpers for scikit learn☆16Updated 2 years ago
- Example usage of scikit-hts☆57Updated 2 years ago
- Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks☆25Updated 5 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- Developmental tools to detect data drift☆14Updated 11 months ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆64Updated 3 weeks ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆65Updated 9 months ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- ☆23Updated 2 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Interpretable, intuitive outlier detector intended for categorical and numeric data.☆9Updated 8 months ago
- Record matching and entity resolution at scale in Spark☆34Updated last year
- 📈🔍 Lets Python do AB testing analysis☆76Updated 10 months ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 2 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- ☆20Updated last year
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- Python package for Bayesian & Frequentist A/B Testing☆12Updated last year
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆120Updated 9 months ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆104Updated last year
- Automated Transparent Genetic Feature Engineering☆22Updated last year
- ☀️🦶 A lightweight framework for collaborative, open-source feature engineering☆32Updated 3 years ago
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Implementing A/B Tests in Python☆27Updated 5 years ago
- Code showing how to add metadata and versioning to an ML model base class.☆11Updated 2 years ago
- An abstraction layer for parameter tuning☆35Updated 5 months ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆61Updated 4 months ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- Python package for Gower distance☆77Updated 9 months ago