zhaohuichong Goto Github PK

art

Generative or data-driven artwork made with R

covid19_analysis

credit-card-fraud-detection-tesorflow-python-and-r

• Built 93% accurate predictive model using tensorflow deep neural networks using tensorflow and keras libraries in Python and R which predicts fraudulent transactions • Developed random forest and logistic regression models in R • Worked on credit card data set that is has appx. 285,000 records and 31 variables with PCA transformation • Used numpy, pandas, scikit learn libraries in python and ggplot, caret, reshape libraries in R

cv

My CV built using RMarkdown and the pagedown package.

esvis

R Package for effect size visualizations.

ggplot2-book

The ggplot2 book

ggstatsplot

Collection of functions to enhance ggplot2 plots with results from statistical tests.

introtor_coursecode

my lecture materials for JHU 550.283 course

keras_tensorflow_on_iris

A minimal tutorial on how to build a neural network classifier based on the iris data set using Keras/TensorFlow in R/RStudio

lectures

Lecture notes for MY459 LT 2019

lectures-1

Lecture material for Big Data in Economics (EC 410/510)

lights_to_cities

R code implementing the Dingel-Miscio-Davis algorithm to construct metropolitan areas by aggregating finer geographic units on the basis of contiguous areas of light in nighttime satellite images

muxviz

Analysis and Visualization of Interconnected Multilayer Networks

qaptest

QAP test for two networks

r_books

R books reading list

short_courses

Instructional materials for econometrics short courses

sna-examples

snainrworkshop

spreading-sir

A networked SIR model.

stata2r

Stata to R cheat sheet for econometrics students

sundry

A sundry of convenience functions

workshops

Public materials for Statnet Workshops