Pinned Repositories
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
zhaohuichong's Repositories
zhaohuichong/aRt
Generative or data-driven artwork made with R
zhaohuichong/covid19_analysis
zhaohuichong/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
zhaohuichong/cv
My CV built using RMarkdown and the pagedown package.
zhaohuichong/esvis
R Package for effect size visualizations.
zhaohuichong/ggplot2-book
The ggplot2 book
zhaohuichong/ggstatsplot
Collection of functions to enhance ggplot2 plots with results from statistical tests.
zhaohuichong/IntroToR_CourseCode
my lecture materials for JHU 550.283 course
zhaohuichong/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
zhaohuichong/lectures
Lecture notes for MY459 LT 2019
zhaohuichong/lectures-1
Lecture material for Big Data in Economics (EC 410/510)
zhaohuichong/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
zhaohuichong/muxViz
Analysis and Visualization of Interconnected Multilayer Networks
zhaohuichong/QAPTest
QAP test for two networks
zhaohuichong/r_books
R books reading list
zhaohuichong/short_courses
Instructional materials for econometrics short courses
zhaohuichong/sna-examples
zhaohuichong/SNAinRworkshop
zhaohuichong/spreading-SIR
A networked SIR model.
zhaohuichong/stata2r
Stata to R cheat sheet for econometrics students
zhaohuichong/sundry
A sundry of convenience functions
zhaohuichong/Workshops
Public materials for Statnet Workshops