GitHub / YogiOnBioinformatics / Principles-of-Data-Science
Work done for University of Pittsburgh course "Principles of Data Science" (STAT 1261) with Dr. Junshu Bao in Fall semester of 2018.
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License: gpl-3.0
Language: R
Size: 1.97 MB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: over 6 years ago
Pushed at: over 6 years ago
Last synced at: about 1 year ago
Commit Stats
Commits: 9
Authors: 1
Mean commits per author: 9.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/YogiOnBioinformatics/Principles-of-Data-Science
Topics: bootstrap, broom, causal-models, data-science, data-visualization, data-wrangling, dplyr, ggplot2, knitr, machine-learning, mdsr, model-selection, r, r-markdown, regression, supervised-learning, tidy-data, tidyr, unsupervised-learning, web-scraping
Funding Links https://github.com/sponsors/YogiOnBioinformatics