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Rico (Mingze) Huang's Projects

archetypal icon archetypal

archetypal: Retrieve, construct, simulate, convert and analyse building simulation templates

crackingmachinelearninginterview icon crackingmachinelearninginterview

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

cvcovest icon cvcovest

An R package for covariance matrix estimator selection in high dimensions

dataaimsr icon dataaimsr

Australian Institute of Marine Science (AIMS) Data Platform API Client which provides easy access to AIMS Data Platform scientific data and information.

feeling-responsive icon feeling-responsive

»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.

ggstatsplot icon ggstatsplot

Enhancing `ggplot2` plots with statistical analysis 📊🎨📣

hacker icon hacker

Hacker is a Jekyll theme for GitHub Pages

jupyter icon jupyter

Jupyter metapackage for installation, docs and chat

latentcor icon latentcor

latentcor is an R package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).

latentcor_py icon latentcor_py

latentcor is a Python package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).

lyme_disease icon lyme_disease

Genetic background affects mouse responses to the Lyme disease pathogen

machine-learning-interview icon machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

mixedcca icon mixedcca

R package for sparse canonical correlation analysis with mixed data types (continuous, binary, zero-truncated)

mlquestions icon mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

ordpens icon ordpens

Ordinal PCA, Selection and/or Smoothing of Ordinal Predictors

possa icon possa

Power simulation for sequential analysis and multiple hypotheses.

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