koaning / scikit-churnLinks
Exploring some issues related to churn
☆17Updated last year
Alternatives and similar repositories for scikit-churn
Users that are interested in scikit-churn are comparing it to the libraries listed below
Sorting:
- A mixture density network, by PyTorch, for scikit-learn☆24Updated last year
- Toolkit to forge scikit-learn compatible estimators☆19Updated this week
- Rethinking machine learning pipelines☆34Updated 4 months ago
- Time based splits for cross validation☆39Updated this week
- Pipeline components that support partial_fit.☆46Updated last year
- Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.☆89Updated this week
- Supporting material for the book club☆15Updated 3 years ago
- Fast approximate joins on string columns for polars dataframes.☆15Updated last month
- Polars Time Series Extension☆34Updated 2 months ago
- Prune your sklearn models☆18Updated last year
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- A library for Time Series EDA (exploratory data analysis)☆72Updated last year
- 📊 Explain why metrics change by unpacking them☆40Updated 2 weeks ago
- Efficient matrix representations for working with tabular data☆132Updated this week
- Tools for diagnostics and assessment of (machine learning) models☆39Updated last month
- A library to use `modal` as a backend for `joblib`.☆32Updated last year
- implementation of Cyclic Boosting machine learning algorithms☆94Updated last year
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated 2 years ago
- Exploratory repository to study predictive survival analysis models☆37Updated 2 years ago
- skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms☆41Updated this week
- Elo ratings for time-series forecasting packages☆25Updated 4 years ago
- 📈🔍 Lets Python do AB testing analysis.☆78Updated 9 months ago
- Validation for forecasts☆17Updated 2 years ago
- ☆115Updated last year
- sktime - python toolbox for time series: pipelines and transformers☆25Updated 3 years ago
- An extension of Py-Boost to probabilistic modelling☆24Updated 3 years ago
- Decorators for logging purposes for all your dataframes☆14Updated last year
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- ☆25Updated 3 weeks ago
- Resources for some of our education content☆48Updated 5 months ago