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:
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆157Updated 5 years ago
- Material for Talk at PyData Seattle 2017☆167Updated 7 years ago
- Tutorial given at PyData LA 2018☆97Updated last year
- ☆155Updated 5 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆418Updated last year
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Notes and Python scripts for A/B or Split Testing☆142Updated 3 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240Updated 5 months ago
- Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2…☆30Updated 7 years ago
- This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more..…☆134Updated last year
- Example Python DS project☆71Updated 7 years ago
- a big loop that runs through all sklearn supervised models, as well as hyperparameter-selection via cross-validation☆36Updated 8 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 6 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 8 years ago
- ☆33Updated last year
- Presentations from H2O meetups & conferences by the H2O.ai team☆410Updated 2 years ago
- Learn Bayesian Regression on simulated dataset☆10Updated 7 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆224Updated 5 years ago
- "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018☆24Updated 6 years ago
- Intermediate Machine Learning with Scikit-learn, 4h interactive workshop☆128Updated 4 years ago
- ☆136Updated 5 years ago
- ☆101Updated 7 years ago
- Python package for Bayesian Tests / AB Testing☆39Updated 5 years ago
- A fork of the cookiecutter-data-science leveraging Docker for local development.☆131Updated 5 years ago
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆22Updated 5 years ago
- Welcome to my independent research repository!☆17Updated 8 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆120Updated 5 years ago
- Data Cleaning Libraries with Python☆288Updated 2 years ago
- H2O.ai Machine Learning Interpretability Resources☆489Updated 4 years ago
- Code demonstrating a simple Machine Learning model abstract base class and its uses.☆14Updated 2 years ago