dariyasydykova / open_projects
This repository contains ROC and precision-recall curve animations
☆255Updated last year
Alternatives and similar repositories for open_projects:
Users that are interested in open_projects are comparing it to the libraries listed below
- Materials from Stan conferences☆254Updated 4 years ago
- Advanced Data Science 2020 Edition☆75Updated last year
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆90Updated 6 months ago
- Library of Stan Models for Survival Analysis☆124Updated 4 years ago
- Solutions for the practice problems☆148Updated 4 years ago
- ☆125Updated 6 years ago
- Common statistical tests are linear models (or: how to teach stats)☆490Updated last year
- Step-by-step examples of building publication-quality figures in ggplot2☆167Updated 5 years ago
- Current version of the SuperLearner R package☆273Updated last year
- 📍 Interactive Studio for Explanatory Model Analysis☆329Updated last year
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆123Updated 7 years ago
- Dimensionality reduction for binary data☆50Updated 4 years ago
- Extract and Visualize the Results of Multivariate Data Analyses☆362Updated last year
- Variable Importance Plots (VIPs)☆187Updated last year
- Case studies on model assessment, model selection and inference after model selection☆171Updated last year
- Presented at Scipy Conference 2019☆125Updated 4 years ago
- An interactive online reading of McElreath's Statistical Rethinking☆124Updated 6 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆121Updated last month
- Regression and other stories R examples☆329Updated 6 months ago
- ☆192Updated 4 years ago
- An R package that makes xgboost models fully interpretable☆254Updated 6 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆555Updated last year
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆106Updated 6 years ago
- Educational resources☆104Updated 3 years ago
- reference material for classical hypothesis tests☆75Updated 3 years ago
- Statistical Rethinking course in pymc3☆142Updated 4 years ago
- A Visual Introduction to Hierarchical Modeling☆278Updated 4 years ago
- Advanced Machine Learning and Visualization☆143Updated last week
- Introduction to Empirical Bayes: Examples from Baseball Statistics☆189Updated 4 years ago
- Task description and data for candidates applying to be a Data Analyst in the Discovery department at Wikimedia Foundation.☆111Updated 7 years ago