klemag / pydata_nyc2018-intro-to-model-interpretabilityLinks
Notebook and slides for my talk at Pydata NYC 2018
☆88Updated last year
Alternatives and similar repositories for pydata_nyc2018-intro-to-model-interpretability
Users that are interested in pydata_nyc2018-intro-to-model-interpretability are comparing it to the libraries listed below
Sorting:
- Tutorial given at PyData LA 2018☆97Updated last year
- ☆32Updated 3 years ago
- Personal repository of data science demonstrations and references☆78Updated 3 years ago
- This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…☆74Updated 6 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- ☆98Updated 7 years ago
- Experimenting with and teaching probabilistic programming☆105Updated 3 years ago
- An easy to use waterfall chart function for Python☆164Updated 4 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 7 years ago
- Applied Machine Learning with Python☆80Updated last year
- Quick Implementation in python☆53Updated 6 years ago
- Advanced Machine Learning with Scikit-learn part I☆143Updated 5 years ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 5 years ago
- An analysis of cycling counts in Auckland in relation to the weather☆89Updated 2 years ago
- ☆136Updated 7 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated last year
- ☆155Updated 5 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 3 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- A short workshop on datascience pipelines using mlflow and airflow☆53Updated 2 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- ☆101Updated 7 years ago
- ☆32Updated last year
- ☆87Updated 6 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆160Updated 5 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆312Updated 5 years ago
- The code for the prize winners in DrivenData competitions.☆406Updated 2 weeks ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- ☆202Updated last year
- Jeff Heaton's Kaggle Utilities☆281Updated 5 years ago