12
Advanced Topics
Introduction to Data Science
Preliminaries
1
Introduction
2
Project Management
3
Reproducible Data Science
4
Python Refreshment
5
Data Visualization
6
Data Manipulation
7
Data Exploration
8
Regression Models
9
Classification
10
Supervised Learning
11
Unsupervised Learning
12
Advanced Topics
13
Exercises
References
12
Advanced Topics
11
Unsupervised Learning
13
Exercises