klemag / pydata_nyc2018-intro-to-model-interpretability
Notebook and slides for my talk at Pydata NYC 2018
☆88Updated 7 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
- ☆33Updated 2 years ago
- Personal repository of data science demonstrations and references☆76Updated 2 years ago
- ☆100Updated 6 years ago
- Resources for Data Science Kick Starter Workshop at ODSC India 2019☆20Updated 4 years ago
- Experimenting with and teaching probabilistic programming☆103Updated 2 years ago
- Tutorial given at PyData LA 2018☆97Updated 5 months ago
- ☆57Updated 6 years ago
- ☆31Updated 8 months ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 6 months ago
- Applied Machine Learning with Python☆77Updated 10 months ago
- Quick Implementation in python☆53Updated 5 years ago
- Added repo for PyData LA 2018 tutorial☆89Updated 6 years ago
- ☆27Updated 6 years ago
- Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory☆45Updated 6 years ago
- This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…☆74Updated 5 years ago
- Content for Applied ML Workshop @ DataHack Summit 2019☆25Updated 5 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆55Updated 5 years ago
- ☆137Updated 6 years ago
- Repo for the ML_Insights python package☆149Updated last year
- An easy to use waterfall chart function for Python☆161Updated 4 years ago
- Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019☆82Updated 5 years ago
- Example Repo for the Udemy Course "Deployment of Machine Learning Models"☆20Updated 4 years ago
- ☆154Updated 4 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆63Updated last year
- Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020☆123Updated 3 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated last year
- ☆47Updated 5 years ago
- ☆11Updated 5 months ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 4 years ago
- Workshop materials for ODSC 2019 Interpretability Talk☆25Updated 4 years ago