dhaitz / machine-learning-interactive-visualizationLinks
Interactive visualization of machine learning model evaluation metrics
☆65Updated 6 years ago
Alternatives and similar repositories for machine-learning-interactive-visualization
Users that are interested in machine-learning-interactive-visualization are comparing it to the libraries listed below
Sorting:
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- Talks about vaex☆36Updated 3 years ago
- Slides for quantstack talks☆81Updated 2 years ago
- Tutorial material and instruction for scipy 2018 jupyterlab tutorial☆73Updated 3 months ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆57Updated 4 years ago
- Slides and materials for most of my talks by year☆92Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 6 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 5 years ago
- Tools that make working with scikit-learn and pandas easier.☆44Updated last week
- Table of Contents extension for JupyterLab☆72Updated 6 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 7 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Bayesian statistics seminars☆29Updated 8 years ago
- Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"☆81Updated 2 years ago
- Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning☆55Updated 6 years ago
- General Interpretability Package☆58Updated 2 years ago
- Viewer for Altair and Vega-Lite visualizations☆81Updated last year
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆104Updated 4 years ago
- Matplotlib style configurator, built with Streamlit☆29Updated 5 years ago
- Summarise and explore Pandas DataFrames☆98Updated 5 years ago
- Scipy 2019 Tutorial☆36Updated 5 years ago
- Symbolic computation using SymPy and various applications☆22Updated 7 years ago
- 🎛 Distributed machine learning made simple.☆49Updated 2 years ago
- Introductory overview of Bayesian inference☆43Updated 6 years ago
- ☆103Updated 2 years ago
- ☆15Updated 7 years ago
- Project template for highly effective data science workflows☆29Updated 2 weeks ago
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated 2 years ago