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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
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Applied Data Science and Visualization
>
Week 4 Linear Regression for Data Science
> Required Readings
Required Readings
ISLR
:
Chapter 6.1 through 6.2: Linear Model Selection and Regularization: Subset Selection & Shrinkage Methods
Optional reading when more background information is required:
ISLR
:
Chapter 3.1 - 3.4: Linear Regression