Fixed the typos

Author: ZuzooVn

README.md

@@ -192,7 +192,7 @@ Each day I take one subject from the list below, read it cover to cover, take no
 - [ ] [A Tour of Machine Learning Algorithms](http://machinelearningmastery.com/a-tour-of-machine-learning-algorithms/)
 - [ ] [The 10 Algorithms Machine Learning Engineers Need to Know](https://gab41.lab41.org/the-10-algorithms-machine-learning-engineers-need-to-know-f4bb63f5b2fa#.ofc7t2965)
 - [ ] [Comparing supervised learning algorithms](http://www.dataschool.io/comparing-supervised-learning-algorithms/)
-- [Machine Learning Algorithms: A collection of minimal and clean implementations of machine learning algorithms](https://github.com/rushter/MLAlgorithms)
+- [ ] [Machine Learning Algorithms: A collection of minimal and clean implementations of machine learning algorithms](https://github.com/rushter/MLAlgorithms)
 
 ## Beginner Books
 - [ ] [Data Smart: Using Data Science to Transform Information into Insight 1st Edition](https://www.amazon.com/Data-Smart-Science-Transform-Information/dp/111866146X)
@@ -266,6 +266,7 @@ Each day I take one subject from the list below, read it cover to cover, take no
 - [ ] [21 Deep Learning Videos, Tutorials & Courses on Youtube from 2016](https://www.analyticsvidhya.com/blog/2016/12/21-deep-learning-videos-tutorials-courses-on-youtube-from-2016/)
 - [ ] [30 Top Videos, Tutorials & Courses on Machine Learning & Artificial Intelligence from 2016](https://www.analyticsvidhya.com/blog/2016/12/30-top-videos-tutorials-courses-on-machine-learning-artificial-intelligence-from-2016/)
 - [ ] [Practical Deep Learning For Coders](http://course.fast.ai/index.html)
+
 ## MOOC
 - [ ] [Udacity’s Intro to Machine Learning](https://www.udacity.com/course/intro-to-machine-learning--ud120)
     - [Udacity Intro to Machine Learning Review](http://hamelg.blogspot.com/2014/12/udacity-intro-to-machine-learning-review.html)