PyDataMadrid / materialLinks
Materials of the PyData Madrid monthly meetups
☆16Updated 7 months ago
Alternatives and similar repositories for material
Users that are interested in material are comparing it to the libraries listed below
Sorting:
- ☆39Updated last week
- Hands on workshop "Refactor your Jupyter notebooks into maintainable data science code with Kedro"☆17Updated 4 months ago
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.☆130Updated last year
- How do we measure the degradation of a machine learning process? Why does the performance of our predictive models decrease? Maybe it is …☆33Updated 3 years ago
- Plugins, extensions, case studies, articles, and video tutorials for Kedro☆77Updated 5 months ago
- Berlin Time Series Analysis Repository☆99Updated 2 years ago
- It's all in the name☆77Updated last year
- Sample projects using Ploomber.☆86Updated last year
- An abstraction layer for parameter tuning☆35Updated 9 months ago
- Feature engineering package with sklearn like functionality☆54Updated 9 months ago
- ☆21Updated 2 years ago
- sktime - python toolbox for time series: pipelines and transformers☆24Updated 2 years ago
- mlmachine accelerates machine learning experimentation☆30Updated 3 years ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆61Updated 9 months ago
- Tools for diagnostics and assessment of (machine learning) models☆35Updated 3 months ago
- Curso de análisis de textos con técnicas de aprendizaje automático☆17Updated 5 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Polars Time Series Extension☆27Updated 4 months ago
- PyData London 2022 Tutorial☆66Updated 2 years ago
- This is an example project to understand how to work with Kedro and MLFlow for machine learning projects.☆12Updated 3 years ago
- Fast Bayesian A/B and Multivariate testing.☆36Updated 2 years ago
- ☆34Updated 4 months ago
- Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference☆81Updated this week
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆77Updated last year
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆25Updated 4 months ago
- ☆11Updated 2 years ago
- Time based splits for cross validation☆38Updated this week
- Tutorial for implementing data validation in data science pipelines☆33Updated 2 years ago
- implementation of Cyclic Boosting machine learning algorithms☆89Updated 9 months ago
- Example using Great Expectations to Validate Data in a scikit-learn Pipeline☆21Updated 4 years ago