university selection for MS in CS with focus on machine learning

Hello all , I'm having a tough time shortlisting universities.Here's my profile:-

College : Delhi Technological University
GRE : 329 (168 Q , 161 V)
TOEFL : yet to give
GPA : 71.5 %

Internships :
1. HP : winter intern , worked on C#/.NET technologies and built a database system resembling an e-commerce site
2. Summer : implemented a research paper on big data and hadoop under professor in college

Projects :
one on image steganography , encoded message in image
project on data mining of airline data to determine tourism trends
2 projects on hadoop implementing machine learning algos like naive bayes

No publications

The universities I've thought of so far:-

1.Arizona State University
2. University of Texas , Dallas
3. SUNY Buffalo
4. Stony Brook
5. University at Colorado Boulder
6. University of North Carolina , Chapel Hill
7. UC Irvine/San Diego/Santa Barbara :- one univ in this system but not sure which
8. Ohio State University
9. Texas A&M University
10. University of Masachussets , Amherst
11. University of Minnnesota , Twin Cities

Could some one please tell me which categories these universities belong to that is safe/moderate/ambitious?

I'm mainly looking for courses like machine learning , especially natural language processing applications such as stuff like sentiment analysis of large scale data eg Tweets , big data , and systems courses like operating systems and databases.

Can you suggest which of these listed universities are good for which area as well as suggest some new ones?

Thanks in advance!

@[Jedi88]
@[pocket_aces]
@[farzi_engineer]
@[vraider]
@[onusopus]