Skip to content

Homeworks and R projects for the course Foundations of Data Science

Notifications You must be signed in to change notification settings

rutvik5/ncsu-csc591-fds

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

CSC 591 - Foundations of Data Science

This repository contains homeworks and coding projects related to Foundations of Data Science course (Fall 2018). All the code for the projects is written in R programming langugage

Topics

Random variables and probability distributions, exploratory data analysis, variable selection, sampling methods, histograms and probability distributions, density estimation, missing data and imputation, mixture models, latent variables, and expectation maximization, regression analysis, discriminant analysis, bagging and boosting, principle component analysis, information theory -- entropy, mutual information, Bayesian information criteria, conditional independence, rescaling and low-dimensional summaries, factor analysis, graphical causal models and causal inference, and evaluating predictive models

Releases

No releases published

Packages

No packages published

Languages