lsuiyanka Goto Github PK
Name: lsuiyanka
Type: User
Location: Nairobi
Name: lsuiyanka
Type: User
Location: Nairobi
Code to create and visualize demographic clusters for the US with data from the American Community Survey
Methodology for producing spatial predictions of soil nutrients for SubSaharan Africa
Logistic regression, support vector machines, hidden markov classification models to predict whether a student will answer a test question correctly and clustering techniques to extract interesting patterns in test performance using R
Get jumpstarted with aWhere's API platforms using these code samples. More languages and samples will be coming, feel free to fork and contribute!
This repo contains the swagger definitions for most of the aWhere Platform APIs.
aWhere R Package to provide plotting functionality to user based upon API calls
An R package that facilitates accessing the aWhere Ag Intel Platform using R
Slides and lecture notes on how to process large spatial data with R
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
Scripts that help with preparing covariates for digital soil mapping
Introductory tutorial on graphical display of geographical information in R.
geostatistics codes for mapping using Ethiopia data
Open source book: Geocomputation with R
R interface to GeoServer REST API
a package for plotting maps in R with ggplot2
Data processing steps for AfSIS project developed at ISRIC
Extends the R Leaflet package with a Mapbox GL JS plugin to allow easy drawing of vector tile layers.
Interactive editing of spatial data in R
An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
Newman is a command-line collection runner for Postman
Analysis of National Geographic Survey Data
📰🗞 New York Times data
:globe_with_meridians: R package to query openrouteservice.org
Open source release of city bike rack locations throughout Chicago.
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Postman helps you be more efficient while working with APIs. Using Postman, you can construct complex HTTP requests quickly, organize them in collections and share them with your co-workers.
Helper extension for the Postman packaged app. Also helps send restricted headers.
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.