Data Science

 

Q1 Textbook Exercises 

Chapter 10 - Unsupervised Learning

• Lab 1: Principal Component Analysis
• Lab 2: K-Means Clustering
• Lab 2: Hierarchical Clustering
• Lab 3: NCI60 Data Example

Q2 Text Exercises – Applied

8. In Section 10.2.3, a formula for calculating PVE was given in Equation 10.8

On the USArrests data, calculate PVE in two ways:

(a) redo as was done in Section 10.2.3.

(b) By applying Equation 10.8 directly. Then, use those loadings in Equation 10.8 to obtain the PVE. These two approaches should give the same results.

https://botlnec.github.io/islp/sols/chapter10/exercise8/

Q3 Applied K-Means Clustering to the IRIS Dataset

https://www.kaggle.com/tonzowonzo/simple-k-means-clustering-on-the-iris-dataset

Q4 Apply K-Means Clustering to the World Happiness Report 2017

https://www.kaggle.com/unsdsn/world-happiness#2017.csv

NCI60_y.csv
NCI60_X.csv
2017.csv
USArrests.csv
HW Clustering Methods.docx