Skip to content

awesomecosmos/CS676-Algorithms-For-Data-Science

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

CS676-Algorithms-For-Data-Science

Repository for storing code for my MS in Data Science course CS676 Algorithms For Data Science at Pace University.

Course description: This course focuses on the algorithms needed for data analytics, and has a computational emphasis. Students will develop proficiency in Python and R, as they build algorithms and analyze data. Topics include data reduction: data mapping, data dictionaries, scalable algorithms, Hadoop, and MapReduce; gaining information from data: data visualization, regression modeling, and cluster analysis; and, predictive analytics: k-nearest neighbors, naïve Bayes, time series forecasting, and analyzing streaming data.

About

Repository for storing code for my MS in Data Science course CS676 Algorithms for Data Science at Pace University.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors