CIS 635 (Fall 2022)
1 Introduction
Week 01
2 Getting Started with R Markdown
3 Homework 1
Week 02
4 Week 02 - Overview
- 4.1 Dependencies
5 Functions in R
6 Reading and Writing Data
- 6.1 Writing data
- 6.2 Loading data
7 tidyverse
8 Using dplyr to manipulate data
9 Using tidyr to create tidy data
10 Creating graphics with ggplot2
- 10.1 Resources for using ggplot2
11 Homework 2
Week 03
12 Homework 3
Week 04
13 Simple denoising examples
14 Dealing with missing values
15 Sampling objects in a dataset
16 Curse of dimensionality demo
17 Aggregation
Week 06
18 Building a decision tree in R
19 Homework 4
Week 07
20 Linear regression in R
Week 08
21 Using a testing set to evaluate the quality of a model
22 K-fold cross validation in R
23 Homework 5
- 23.1 Overview
- 23.2 Part A.
Week 09
24 Interactive k-means clustering example
25 Simple K-means clustering in R
Week 10
26 Hierarchical clustering in R
27 DBSCAN in R
28 Homework 6
Week 11
29 Association rule mining in R
Week 12
30 Sequential pattern mining in R
31 Homework 7
Final Project
32 Final project overview
33 Final project - Proposal
34 Final project - Mid-project update
- 34.1 Requirements
- 34.2 Grading
35 Final project - Report draft
- 35.1 Grading
36 Final project - Final report
References
Published with ❤ and bookdown

GVSU CIS 635 - Knowledge Discovery and Data Mining (Fall 2022)

GVSU CIS 635 - Knowledge Discovery and Data Mining (Fall 2022)

Instructor: Dr. Alexander Lalejini

2022-11-10

Chapter 1 Introduction

This eBook contains some of the course materials for the Fall 2022 sections 02 and 03 of CIS 635 at Grand Valley State University.