gittar / breathing-k-meansLinks
The "breathing k-means" algorithm with datasets and example notebooks
☆93Updated 5 months ago
Alternatives and similar repositories for breathing-k-means
Users that are interested in breathing-k-means are comparing it to the libraries listed below
Sorting:
- Automatic Feature Engineering for Time Series☆17Updated 2 years ago
- The breathing k-means algorithm (just one source file containing the algorithm as found on pypi)☆21Updated 10 months ago
- Helpers for scikit learn☆16Updated 2 years ago
- Pipeline components that support partial_fit.☆46Updated 10 months ago
- Prune your sklearn models☆19Updated 7 months ago
- Vectorizers for a range of different data types☆101Updated 3 months ago
- Advanced random forest methods in Python☆57Updated last year
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Clusteval provides methods for unsupervised cluster validation☆60Updated last month
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- Explaining dimensionality results using SHAP values☆54Updated 4 months ago
- 🥄✨Time-series Benchmark methods that are Simple and Probabilistic☆41Updated last year
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year
- Generating Training Data Made Easy☆43Updated 4 years ago
- A small wrapper to do Beta Boosting with XgBoost☆15Updated 3 years ago
- Interpretable, intuitive outlier detector intended for categorical and numeric data.☆10Updated 11 months ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- 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
- Feature engineering package with sklearn like functionality☆54Updated 9 months ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- Gradient boosting on steroids☆28Updated 11 months ago
- Collection of important and useful coding tricks, tips and knowledge for people with a memory like Swiss cheese.☆19Updated last year
- Extends scikit-learn with new models, transformers, metrics, plotting.☆73Updated 2 months ago
- Random Forest or XGBoost? It is Time to Explore LCE☆66Updated last year
- Repository for my master thesis on automated string handling☆16Updated 3 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- ☆20Updated last year