wilsonchua
wilson chua
Recently Published
KEC-Titanic Demo
Predict who is most likely to survive
Knowledge Exchange Conference 2018
Sample R script
RootCon 2017 Extra Codes
Some tips based on the book Data Driven Security
MLR-Section39-XGBoost
XGBoost
MLR-Section38-GridSearch
GridSearch
MLR-Section38 XValidation
x Fold Validation
MLR-Section37-KernelPCA
Kernel PCA
MLR-Section36-LDA
Linear Discriminant Analysis
MLR-Section34 PCA
Principal component analysis
MLR-Section31-ANN
Advanced Neural Networks
MLR-section25 UpperConfidenceBoundary
Multi arm bandit
ML using R section 17 Decision Tree
Decision Tree
ML using R Section 16 Naive Bayes
Naïve Bayes
ML Using R Section 15 Kernel SVM
Kernel SVM for non linear dataset
ML Using R Section 14 SVM
Support Vector Machine
ML Using R Section 13 KNN
KNearest Neighbor
ML Using R Section 12
Logistic Regression
ML Using R Section 9
Random Forest
ML Using R Section 8
Decision Tree Regressions
ML Using R Section 7
Support Vector Regression
ML Using R Section 6
Polynomial Regression
ML Using R Section 5
Multiple Linear Regression
ML Using R
Linear Regression
R for Data Science Model Building
Chapter 19
R For Data Science- Markdown Output
Chapter 23
R for Data Science R Markdown
Chapter 23
R for Data Science Chapter 18
Introduction to Modeling
R for Data Science Chapter 14 Magritter %>%
Library(magrittr)
%>% pipes
R For Data Science Chapter 13 Lubridate
All about dates and times
R For Data Science Chapter 12
Factors with forcats package
R For Data Science Chapter 11
Strings with Stringr
R for Data Science Chapter 10
Relational Data with Tidyr
R for Data Science Chapter 09
Tidy Data with Tidyr
R for Data Science Chapter 8
Data Import with readr
R For Data Science Chapter 6 Workflow Projects
Workflow Projects
R For Data Science Chapter 5
Exploratory Data Analysis
R for Data Science Chapter 4
Chapter 4 of R4DS
R for Data Science-Chapter 3
Data Transformation with dplyr
R for Data Science Chapter 2
Workflow: Basics
Chapter 15 Elementary Statistics
One of the hardest chapters to follow.
I wish the author made it with plain english
Document
test
Chapter 13 Basic Statistics
centrality: mean, median, mode
correlations, variance, covariance, standard deviation,
summary
iqr, quantiles
Chapter 10 Conditions and Loops
if, else, ifelse, nesting, stacking,switch, for loops, nesting, while, apply, next, break, repeat
Chapter 9 Writing Functions
Scoping, Matching
Chapter 7 Basic Plotting with R
Chapter 7 of The book of R
Chapter 6
The Book of R chapter 6
Document1
test
The Book of R Chapter 4
Lab for Chapter 4
Lab Notes on "The Book of R"
My lab notes on following the examples in the excellent book "The Book of R" by Tilman Davies
Plot2
ggplotsample2
Plot Test R programming Class
Singapore Jan 2017