stevenworthington Goto Github PK

2022-cs109b

adv-r

Advanced R: a book

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

anki-decks-deeplearning.ai

This repository contains flashcard decks for DeepLearning.ai courses.

basketball_reference_web_scraper

NBA Stats API via Basketball Reference

bayes_factors

How to compute Bayes factors using lm, lmer, BayesFactor, brms, and JAGS/stan/pymc3

bayesian-basics

:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.

bayesian_notes

bayesinworkflowlecture

A lecture on practicing safe Bayesian analyses by having adequate workflow.

beyond-bar-and-box-plots

Hands–on code to create and style chart alternatives with ggplot2

biol609.github.io

Course website and materials for Biology 609, Advanced Data Analysis for Biology, at UMass Boston

bookdown-start

bookmi

Applied Missing Data Analysis Book

bootcamp_website

Website for Data Science Bootcamp

bsl

:chart_with_upwards_trend: Machine Learning from the perspective of a Statistician using R

bysh

Repo for current version of Broadening Your Statistical Horizons (initially Feb 2019). A rendered version can be found at: https://bookdown.org/roback/bookdown-bysh/

catherinezucker.github.io

cces

cces-prototype

chart-doctor

Sample files to accompany the FT's Chart Doctor column

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

confidenceintervalsfallacy

The Fallacy of Placing Confidence in Confidence Intervals

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

cs109a_final_project

csci-e-83

Course materials for CSCI E-83

deedy-resume

A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student

deep-learning-a-visual-approach

All of the figures and notebooks for my deep learning book, for free!

deepstat

:alien: Resources for Illinois Statisticians attempting to learn deep learning

distribution_diagrams

R-script for generating canonical diagrams of distributions to be used to describe Bayesian hierarchical models.

doing-bayesian-data-analysis-in-brms-and-the-tidyverse

The bookdown version lives here: https://bookdown.org/content/3686