ivanlen / pipreqsnb
pipreqs with jupyter notebook support
☆69Updated last year
Alternatives and similar repositories for pipreqsnb:
Users that are interested in pipreqsnb are comparing it to the libraries listed below
- Feature engineering package with sklearn like functionality☆53Updated 7 months ago
- Exploratory repository to study predictive survival analysis models☆34Updated last year
- Streamline scikit-learn model comparison.☆145Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Pipeline components that support partial_fit.☆46Updated 9 months ago
- Explore and compare 1K+ accurate decision trees in your browser!☆160Updated last year
- An abstraction layer for parameter tuning☆35Updated 7 months ago
- Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!☆104Updated 2 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.☆130Updated last year
- Missing data amputation and exploration functions for Python☆68Updated 2 years ago
- Data Analysis Baseline Library☆131Updated 5 months ago
- SciKIt-learn Pipeline in PAndas☆42Updated last year
- Resources for some of our education content☆41Updated 2 months ago
- summarytools in jupyter notebook☆106Updated 7 months ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 2 months ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆76Updated 2 years ago
- 📊 Explain why metrics change by unpacking them☆37Updated 2 weeks ago
- Python package for publishing Jupyter Notebooks as Medium blogposts☆148Updated last year
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆60Updated 7 months ago
- Bag of, not words, but tricks!☆68Updated last year
- How to Interpret SHAP Analyses: A Non-Technical Guide☆52Updated 3 years ago
- A repository containing data and files for my stories on Medium.com.☆56Updated 2 months ago
- A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…☆115Updated 2 years ago
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆77Updated last year
- sktime - python toolbox for time series: pipelines and transformers☆24Updated 2 years ago
- It's all in the name☆77Updated last year
- Editing machine learning models to reflect human knowledge and values☆124Updated last year