jesford / testing-in-data-scienceLinks
Intro to Testing in Data Science Tutorial
☆36Updated 3 years ago
Alternatives and similar repositories for testing-in-data-science
Users that are interested in testing-in-data-science are comparing it to the libraries listed below
Sorting:
- Today I Learned Some Computer Stuff☆39Updated 7 years ago
- Slides and materials for most of my talks by year☆92Updated 2 years ago
- Know your ML Score based on Sculley's paper☆34Updated 6 years ago
- State management framework for Data Science & Analytics☆19Updated 5 years ago
- Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request☆65Updated 3 years ago
- Bayesian statistics seminars☆30Updated 8 years ago
- Code and notebooks for a talk given at PyBay, 2018-08-19☆49Updated 4 years ago
- Workshop materials for PyCon 2018 workshop on reproducible analysis in Python☆111Updated 6 years ago
- Mini module with syntax sugar for pandas/sklearn☆107Updated 4 years ago
- Introduction to web scraping and text mining☆48Updated 5 years ago
- Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)☆37Updated 5 years ago
- ☆15Updated 7 years ago
- An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.☆16Updated 8 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 2 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆76Updated 7 years ago
- Up Your Bus Number: A Primer for Reproducible Data Science☆69Updated 6 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 5 years ago
- Data exploration library with a pandas-like API☆74Updated 5 years ago
- Python code for Hadley Whickham's article on Tidy Data.☆35Updated 8 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆110Updated 4 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆120Updated 5 years ago
- Learn how to build a data analysis library from scratch☆207Updated 3 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆103Updated 3 years ago
- Tutorial material and instruction for scipy 2018 jupyterlab tutorial☆73Updated 3 weeks ago
- PyData NYC 2017: Pandas Head to Tail☆57Updated 7 years ago
- ☆15Updated 2 years ago
- The simplest complex example that I can think of to show main Flask app concepts.☆47Updated this week
- Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning☆55Updated 5 years ago