Home
Course Information
Course Schedule
Course Teachers
Readings
0.
Preparation
1.
Introduction
Reading
Lecture
Lab
Lab answers
2.
Visualization
Basics of ggplot
Reading
Lecture
Lab
Lab answers
3.
Model accuracy and fit
Reading
Lecture
Lab
Lab answers
4.
Linear Regression ++
Reading
Lecture
Lab
Lab answers
Basics: Data Importing
Basics: dplyr
5.
Classification
Reading
Lecture
Lab
Lab answers
6.
Interactive Data Visualization
Reading
Lecture
Lab
Lab answers
Code shiny app lab 6
7.
Tree Based Methods
Reading
Lecture
Lab
Lab answers
8.
Text Mining
Reading
Lecture
Lab
Lab answers
9.
Network Analysis
Reading
Lecture
Lab
Lab answers
Exam
Assignments
Group assignment - part 1
Final Group Assignment
Clear History
Download
Star
Fork
Built with
from
Grav
and
Hugo
Edit this page
Applied Data Science and Visualization
>
Week 1 Introduction
> Required Readings
Required Readings
ISLR
:
Chapter 1 Introduction
Chapter 2.1 What is Statistical Learning