R Programming

Overview

I learned R by taking Data Science I (P8105) last semester which is taught by Dr. Jeff Goldsmith. In this course, I learnt how to do data manipulation and data visualization by R. Besides, I have taken Data Science Specialization on Cousera which is developed by Johns Hopkins University.

During this semester, I’ m taking Data Science II (P8106) which is taught by Dr. Yifei Sun, learning something about data modeling.

Homework

I keep all my homework under my github account, because I find that it is useful and efficient for me to refresh my memory by referring to my previous homework.

DS I HW

HW 1 Use R Markdown to write reproducible reports, GitHub for version control
HW 2 Practice data wrangling and tidy data
HW 3 Practice data visualization
HW 4 Dashboard and ploty
HW 5 Pactice iteration by using map
HW 6 Fit models
Midterm Project Physical Activity Analysis
Final Project Phthalate-obesity

DS II HW

HW 1 Linear Model, Lasso, Ridge and Principal Component Regression
HW 2 Non-linear models: Spline, GAM and MARS
HW 3 Classification: Logistic, LDA, QDA, K-NN
HW4 Tree-based Models and Ensembel methods