MeredithGal / Predictive-Analytics-with-R-Programming Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

UNCW BAN 502 This course explores methods for model selection, parameter estimation, and validation. Focused on techniques and algorithms from the statistical and machine learning disciplines.

0 stars 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
FirstQuarto.html		FirstQuarto.html
FirstQuarto.qmd		FirstQuarto.qmd
QuickPythonDemo.ipynb		QuickPythonDemo.ipynb
README.md		README.md

Repository files navigation

BAN-502-Course-Files

Added First Quarto File.

Added sample Python file.

Added Ames_Housing Data Files in separate directory

About

UNCW BAN 502 This course explores methods for model selection, parameter estimation, and validation. Focused on techniques and algorithms from the statistical and machine learning disciplines.

neural-networks logistic-regression support-vector-machines r-programming classification-trees regression-trees multinomial-logistic-regression ordinary-least-squares-regression cluster-analysis-regularization naive-bayes-principal-components-analysis excel-data-analytics

Report repository

Releases

No releases published

Packages

No packages published

Languages