From 820973c70957a4b80b1f98655cac463b75265ccc Mon Sep 17 00:00:00 2001 From: Kevin Markham Date: Thu, 22 Oct 2015 22:58:45 -0400 Subject: [PATCH] fix broken links --- README.md | 2 +- other/advice.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index ea701b5..9dd9e58 100644 --- a/README.md +++ b/README.md @@ -57,7 +57,7 @@ Tuesday | Thursday ### [Advice for getting better at data science](other/advice.md) -### [Additional resources](#additional-resources) +### [Additional resources](#additional-resources-1) ----- diff --git a/other/advice.md b/other/advice.md index 7124223..1960f85 100644 --- a/other/advice.md +++ b/other/advice.md @@ -17,7 +17,7 @@ There are many **online courses** to consider, and new ones being created all th * [Dataquest](https://www.dataquest.io) is an online platform rather than a traditional course, and allows you to learn and practice data science through interactive exercises. Not all of the lessons are free, but new lessons are frequently being added. * edX's [Introduction to Computer Science and Programming Using Python](https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x7) is apparently an excellent course if you want to get better at programming in Python. * Coursera recently added many other data science-related [specializations and courses](https://www.coursera.org/browse/data-science?languages=en), most of which I am not familiar with. However, [CourseTalk](https://www.coursetalk.com/) is useful for reading reviews of online courses. -* Some additional courses are listed in the [Additional Resources](../README.md#additional-resources) section of the main README. +* Some additional courses are listed in the [Additional Resources](../README.md#additional-resources-1) section of the main README. Here is just a tiny selection of **books**: * [An Introduction to Statistical Learning with Applications in R](http://www-bcf.usc.edu/~gareth/ISL/) is my favorite book on machine learning because of the thoughtful way in which the material is presented. The Statistical Learning course linked above uses it as the course textbook, and the [related videos](http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/) are available on YouTube.