klemag / pydata_nyc2018-intro-to-model-interpretabilityLinks
Notebook and slides for my talk at Pydata NYC 2018
☆88Updated 11 months ago
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:
- Experimenting with and teaching probabilistic programming☆104Updated 3 years ago
- Personal repository of data science demonstrations and references☆76Updated 2 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
- Tutorial given at PyData LA 2018☆97Updated 9 months ago
- Quick Implementation in python☆52Updated 5 years ago
- ☆136Updated 6 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 6 years ago
- ☆32Updated last year
- ☆33Updated 2 years ago
- ☆99Updated 6 years ago
- ☆57Updated 6 years ago
- ☆154Updated 4 years ago
- Repo for the ML_Insights python package☆151Updated last month
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 10 months ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- data analysis, big data development, cloud, and any other cool things!☆30Updated 10 months ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 years ago
- Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory☆45Updated 6 years ago
- Applied Machine Learning with Python☆79Updated last year
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆135Updated last year
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- Workshop materials for ODSC 2019 Interpretability Talk☆25Updated 5 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 5 years ago
- ☆26Updated 7 years ago
- An easy to use waterfall chart function for Python☆162Updated 4 years ago
- ☆28Updated 6 years ago
- An analysis of cycling counts in Auckland in relation to the weather☆89Updated 2 years ago
- Example usage of scikit-hts☆57Updated 2 years ago