https://github.com/awesomecosmos/CS676-Algorithms-For-Data-Science
Repository for storing code for my MS in Data Science course CS676 Algorithms for Data Science at Pace University.
https://github.com/awesomecosmos/CS676-Algorithms-For-Data-Science
List: CS676-Algorithms-For-Data-Science
algorithms clustering pace-university
Last synced: 2 months ago
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Repository for storing code for my MS in Data Science course CS676 Algorithms for Data Science at Pace University.
- Host: GitHub
- URL: https://github.com/awesomecosmos/CS676-Algorithms-For-Data-Science
- Owner: awesomecosmos
- Created: 2023-01-27T01:14:09.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-07-22T22:43:35.000Z (almost 2 years ago)
- Last Synced: 2024-05-21T21:02:33.195Z (about 1 year ago)
- Topics: algorithms, clustering, pace-university
- Language: Jupyter Notebook
- Homepage:
- Size: 168 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 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.