ISLR Fridays: Introduction
UPDATE 2014-03-24: I pushed everything back because lots of things have been busy. Â
UPDATE 2014-02-25: I pushed everything back 2 weeks because lots of things have been busy. Â
Last week, I posted a link to a set of free books to this blog. Â Not long after, I got a twitter message from a friend:
You and I should setup to study the R book jointly. Somebody pushing along is tremendously helpful to me. Interested?
The R book is An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani.
So I decided I’m going to post biweekly to this blog for the next 18 weeks and talk about what I’ve learned. Â Responses are welcome in the comments or via email at andrew .- -.-. siliconcreek .-.-.- net (related comments may be posted to this blog).
The schedule is something like this, based on the chapters of the books:
- Statistical Learning -Â April 18
- Linear Regression -Â Â May 2
- Classification -Â May 16
- Resampling Methods -Â May 30
- Linear Model Selection and Regularization -Â June 13 (Friday the 13th???)
- Moving Beyond Linearity -Â July 4 (well, this is when it will post to the blog)
- Tree-Based Methods -Â July 18
- Support Vector Machines -Â August 1
- Unsupervised Learning – August 15
So this will be not-too-intense, and with my current workload being spent a lot on waiting for models to run (I’m waiting on one right now, which is partly why I read the introduction), I should be able to spend some time on it.
In addition to the exercises in the book, I intend to post a link to a sanitized version of the Greater Cincinnati Household Travel Survey. Â This sanitized version will have a number of changes made to it to protect the privacy of the survey participants (for example, we will not include the names, phone numbers, addresses, or GPS coordinates).
Tags: ISLR, R, statistics
