By Ajit Jaokar and Dan Howarth. With contributions from Ayse Mutlu.
Exclusively for Data Science Central members, with free access. You can download this book (PDF) here.
This tutorial began as a series of weekend workshops created by Ajit Jaokar and Dan Howarth. The idea was to work with a specific (longish) program such that we explore as much of it as possible in one weekend. This book is an attempt to take this idea online. The best way to use this book is to work with the Python code as much as you can. The code has comments. But you can extend the comments by the concepts explained here.
1. Introduction and approach 4
2. Background, tools and philosophy 6
3. Code outline 7
4. Exploratory data analysis and graphics 8
5. Pre-processing data 13
6. Choose a Baseline algorithm 15
7. Evaluation metrics for classification 18
8. Conclusion 28
A1. Regression Code 29
A2. Classification Code 36
To access the book, and if you are not yet a DSC member, you can register as a member, following this link.