gragusa Goto Github PK
Name: Giuseppe Ragusa
Type: User
Company: Sapienza - University of Rome
Location: Rome, Italy
Blog: https://gragusa.org
Name: Giuseppe Ragusa
Type: User
Company: Sapienza - University of Rome
Location: Rome, Italy
Blog: https://gragusa.org
In progress: lecture notes for time-series econometrics
My doom emacs configuration files
Applies multiclass AdaBoost.M1, AdaBoost-SAMME and Bagging
Exploratory Data Analysis of the engine simulation data in dataset 6, subset FD001, from https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Applied Statistics and Econometrics
A curated list of awesome alfred workflows
A curated list of Quarto talks, tools, examples & articles! Contributions welcome!
Azure Quickstart Templates
Julia package designed to handle product distributions
Automatically exported from code.google.com/p/bcui-emacs
Authoring Books with R Markdown
Source for my Octopress-generated blog
Somewhat hacky script to automate building of Emac.app on macOS.
This is a repository to organize the teaching material for a new course at Monash University
Github repository of Computational Tools for Macroeconometrics
Notes from the R programming Coursera course
Statistics One is designed to be a comprehensive yet friendly introduction to fundamental concepts in statistics. Comprehensive means that this course provides a solid foundation for students planning to pursue more advanced courses in statistics. Friendly means exactly that. The course assumes very little background knowledge in statistics and introduces new concepts with several fun and easy to understand examples. This course is, quite literally, for everyone. If you think you can't learn statistics, this course is for you. If you had a statistics course before but feel like you need a refresher, this course is for you. Even if you are a relatively advanced researcher or analyst, this course provides a foundation and a context that helps to put oneβs work into perspective. Statistics One also provides an introduction to the R programming language. All the examples and assignments will involve writing code in R and interpreting R output. R software is free! What this means is you can download R, take this course, and start programming in R after just a few lectures. That said, this course is not a comprehensive guide to R or to programming in general.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation for Julia.
Take Julia test coverage results and bundle them up in JSONs
COVID-19 Italia - Monitoraggio situazione
Chris Sims' optimization routine
Optimization in Julia
quarto extension for user defined, automatically numbered div blocks / latex environment
Julia implementation of Decision Tree (CART) and Random Forest algorithms
Statistical bootstrap procedures for time-series data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.