mingzehuang Goto Github PK
Name: Rico (Mingze) Huang
Type: User
Bio: Ph.D. in Economics and M.S. in Statistics @ Texas A&M University
Location: Phoenix, AZ
Name: Rico (Mingze) Huang
Type: User
Bio: Ph.D. in Economics and M.S. in Statistics @ Texas A&M University
Location: Phoenix, AZ
archetypal: Retrieve, construct, simulate, convert and analyse building simulation templates
Badge for R Package
Bayesian Multivariate GARCH
Developmental Version of R package CliquePercolation
A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews
An R package for covariance matrix estimator selection in high dimensions
Australian Institute of Marine Science (AIMS) Data Platform API Client which provides easy access to AIMS Data Platform scientific data and information.
ECON410: Macroeconomic_Theory
This is an R project to build course website for ECON410: Macroeconomic Theory
»Feeling Responsive« is a free flexible theme for Jekyll built on Foundation framework. You can use it for your company site, as a portfolio or as a blog.
Enhancing `ggplot2` plots with statistical analysis 📊🎨📣
Hacker is a Jekyll theme for GitHub Pages
Jupyter metapackage for installation, docs and chat
latentcor is an R package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).
latentcor is a Python package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).
Genetic background affects mouse responses to the Lyme disease pathogen
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
R package for sparse canonical correlation analysis with mixed data types (continuous, binary, zero-truncated)
https://huyenchip.com/ml-interviews-book/
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Ordinal PCA, Selection and/or Smoothing of Ordinal Predictors
Power simulation for sequential analysis and multiple hypotheses.
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.