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

• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 10 months ago
• knathanieltucker / deep-learning-building-blocks
  ☆33Updated 2 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆76Updated 2 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• mmortazavi / EntityEmbedding-Working_Example
  This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…
  ☆74Updated 6 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆52Updated 5 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 6 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 11 months ago
• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆162Updated 4 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆136Updated last year
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 5 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆141Updated 5 years ago
• jeffheaton / jh-kaggle-util
  Jeff Heaton's Kaggle Utilities
  ☆281Updated 4 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆140Updated 2 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆159Updated 2 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• cmawer / reproducible-model
  ☆86Updated 6 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆152Updated 3 months ago