LibGuides: TIM-8515 V1: Lesson 4 Resources

Lesson 4 Resources

Python: Data Analytics and Visualization
Vo.T.H, P., Czygan, M., Kumar, A., & Raman, K. (2017, March). Python: Data analytics and visualization. Packt Publishing.
Read Module 2, Chapter 7 - Clustering with Python
This chapter describes the algorithms and math behind the clustering methods used in data science. The distance matrix, normalizing the distances, linkage methods, K-means clustering, and implementing clustering using Python are discussed with examples.

Absenteeism at work Data Set
The database was created with records of absenteeism at work from July 2007 to July 2010 at a courier company in Brazil.

Lesson 4 K-Means & Hierarchical Code Samples
This example demonstrates how to perform a K-Means and Hierarchical analysis using multivariate data and interpret the results.

40 Algorithms Every Programmer Should Know
Ahmad, I. (2020). 40 algorithms every programmer should know. Packt Publishing.
This book is invaluable to the data scientist. The most used and essential algorithms are demonstrated and discussed using Python.