Tidy up markup

README.md

@@ -19,7 +19,7 @@ Table of Contents
 - [Programming Languages / Compilers](#programming-languages--compilers)
 - [Security](#security)
 - [Systems](#systems)
-- [Statistics/Regression](#statistics)
+- [Statistics / Regression](#statistics)
 
 ### Legend
 
@@ -1011,7 +1011,7 @@ and anti-analysis techniques.
 -----
 ### Statistics
 
--[STAT 340](https://andrewpbray.github.io/reg/index.html) **Applied Regression Methods** *Smith College* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" title="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" title="Lecture Notes" />
+- [STAT 340](https://andrewpbray.github.io/reg/index.html) **Applied Regression Methods** *Smith College* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" title="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" title="Lecture Notes" />
 
 - This course covers the beautiful and useful tool of regression, which is the central technique of statistical modeling. By the end of this course you will be able to:
 	- Discern research questions and data that are well-suited to regression analysis.
@@ -1020,4 +1020,4 @@ and anti-analysis techniques.
 	- Perform regression analysis in a modern computing environment.
 	- Interpret your model and communicate what it implies.
 - [Syllabus](https://andrewpbray.github.io/reg/syllabus.html)
--[Lecture Notes](https://andrewpbray.github.io/reg/index.html)
+- [Lecture Notes](https://andrewpbray.github.io/reg/index.html)