Name: Mustapha Mohammed, PhD
Type: User
Company: London
Bio: Research Fellow | Statistician with interest in Applied Econometrics, Macroeconometrics, Bayesian Statistics, Health Econometrics and Medical Statistics.
Location: England, UK
pysal
Automatically exported from code.google.com/p/pysal
python-boot-camp
Short introduction to Python programming for Economics graduate students.
python-tutorial
python-var
Vector Autoregressive models in Python
pythondatasciencehandbook
Python Data Science Handbook: full text in Jupyter Notebooks
r-data-cleaning-tricks
Data Cleaning Tricks in R for Boston University's "Storytelling with Data" workshop
r-ecology
Data Carpentry R lessons on ecology
r-geospatial-fundamentals
This is the repository for D-Lab's Geospatial Fundamentals in R with sf workshop.
r-machine-learning
D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.
r-workshop
Materials for a short course in R.
rbusiness
Rbusiness
reed_workshops
Workshops, presentations, and blog posts on using R at Reed College
regression-analysis
OLS regression techniques
rep-res-book
Source code files for the book Reproducible Research with R/RStudio
replication-of-online-estimation-of-dsge-models
replications
Incidental scrutiny
reproduction-material-spatial-monte-carlo-experiments
Reproduction material for Rüttenauer T. (2019). “Spatial Regression Models: A Systematic Comparison of Different Model Specifications Using Monte Carlo Experiments”
resources
PyMC3 educational resources
rice-vcs-2019
Visualisation with ggplot2 (taught at Rice VCS 2019)
salty
Turn Clean Data Into Messy Data
sandpit
a sandpit for messing around with stuff
sdss19-dataviz-workshop
sem_policy_opt
Example using ML for policy optimization (a twist on RL)
shapley_regressions
Statistical inference on machine learning or general non-parametric models
shiny-training
One day Shiny training for health and care analysts
sicss-spatial
spatial-data-with-r
Materials for my lecture on Spatial Data Analysis with R
spatial-microsim-book
Code, data and prose of the book: Spatial Microsimulation with R
spatial-r-phd-course
Data and information for GGBC PhD course in spatial analyses in R
spatialdatascience
Introduction to Data Science with R
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
