/EECS_E6690_Statistical_Learning_Homework

homework for statistical learning @ columbia university

Primary LanguageTeX

EECS E6690 Statistical Learning Homework

Provide solutions for statistical learning homework. Homework is a combination of mathmatical proofs and R coding.

Structure

.
├── hw1-questions.pdf
├── hw2-questions.pdf
├── hw3-problems.pdf
├── hw1
│   ├── ch3467_HW1.pdf
│   ├── ch3467_HW1.Rmd
│   └── ...
├── hw2
│   ├── ch3467_HW2.pdf
│   ├── ch3467_HW2.Rmd
│   └── ...
├── hw3
│   ├── ch3467_HW3.pdf
│   ├── ch3467_HW3.Rmd
│   └── ...
├── README.md
└── Template
    ├── homework.cls
    ├── UNI_HW#.pdf
    └── UNI_HW#.tex
  • All the questions are in root folder
  • All solutions are writen in Rmd and rendered to pdf

Note

  • Latex configuration in Rmd
    • Global configuration 
          --- 
    title: "EECS E6690 hw3"
    author: "Chong Hu ch3467"
    date: 'Sep 22, 2019'
    output: 
      pdf_document:
        latex_engine: pdflatex
    header-includes: 
    - \usepackage{graphicx}
    - \usepackage{float}
    ---
          ```{r global_options, include=FALSE}
    knitr::opts_chunk$set(echo = TRUE, fig.pos = 'H')
    ```
    • Configuration for plots
      e.g. 
      ```{r,  fig.height = 3.5, fig.width = 5, fig.align = "center",  fig.cap="$\\boldsymbol{C_p}$ vs. Subset Size for backward setpwise selection"}