savvastj / model_interpretability_postLinks
☆15Updated 7 years ago
Alternatives and similar repositories for model_interpretability_post
Users that are interested in model_interpretability_post are comparing it to the libraries listed below
Sorting:
- Notes and Python scripts for A/B or Split Testing☆142Updated 3 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆156Updated 4 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆226Updated 5 years ago
- Tutorial given at PyData LA 2018☆97Updated last year
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆417Updated last year
- An easy to use waterfall chart function for Python☆162Updated 4 years ago
- ☆155Updated 4 years ago
- A curated list of awesome customer analytics content☆98Updated 7 years ago
- Python package for Bayesian Tests / AB Testing☆40Updated 5 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆120Updated 5 years ago
- A fork of the cookiecutter-data-science leveraging Docker for local development.☆131Updated 5 years ago
- A command line tool to easily add an ethics checklist to your data science projects.☆299Updated last week
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Accelerate data science☆116Updated 4 years ago
- Up Your Bus Number: A Primer for Reproducible Data Science☆69Updated 6 years ago
- ☆26Updated 7 years ago
- Data Analysis Baseline Library☆728Updated 9 months ago
- ☆136Updated 5 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆169Updated 4 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆682Updated last year
- collection of ipython notebooks for "How to Analyse an Online Experiment in Python" tutorial☆60Updated 3 years ago
- Using Project Jupyter for data science.☆259Updated 4 years ago
- Production Data Science: a workflow for collaborative data science aimed at production☆454Updated 5 years ago
- H2O.ai Machine Learning Interpretability Resources☆489Updated 4 years ago
- Data Analysis Baseline Library☆133Updated 10 months ago
- ☆26Updated 5 years ago
- Personal repository of data science demonstrations and references☆77Updated 2 years ago
- Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle☆39Updated 8 years ago
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆36Updated 5 years ago