robertswalker Goto Github PK
Name: Robert S Walker
Type: User
Bio: Professor, University of Missouri
Name: Robert S Walker
Type: User
Bio: Professor, University of Missouri
Unbalanced targets require special attention to the sensitivity vs specificity tradeoff, and the sensitivity vs precision tradeoff. Here I use two examples, cancer and loan defaults, to demonstrate these tradeoffs in R.
machine learning model to find geoglyphs and Amazonian Dark Earth sites in Amazonia
Use baseball data from Mike Trout to model exit velocity as a function of pitch location. Visualize with a heat map in R
Bayesian networks and comparative causal models of human complexity across anthropological datasets
Repeated k-fold cross validation to evaluate glm (linear) versus lmer (mixed) versus brms (bayesian) models
The data repository for the D-PLACE Project (Database of Places, Language, Culture and Environment)
Data and code for extralethal violence project
End-to-end training for breast cancer diagnosis using deep all convolutional networks
Do variable selection in 4 different ways: 1) rank models by AICc, 2) leave one out or k-fold cross validation, 3) Bayesian variable selection, and 4) use caret's recursive feature elimination.
3D modeling and estimates of earthworking for Amazonian geoglyphs
Reconstructing hunter-gatherer population densities
Show how a Keras neural network simplifies to a logistic regression
Use Keras in R to purposefully overfit the MNIST dataset. Then improve generalizability with dropout and regularization
School projects in Python that use the arcade library (http://arcade.academy/)
Use R shiny app that uses latitude and population to predict home range area of hunter-gatherers (Binford dataset)
Modeling the social drivers of environmental sustainability among Amazonian indigenous lands using Bayesian networks
Growth of isolated indigenous metapopulations
Bayesian network and causal inferences of complexity in the Western North American Indian dataset
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.