https://github.com/secary/stats7022
Data Science PG
https://github.com/secary/stats7022
r rstudio statistics
Last synced: 9 months ago
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Data Science PG
- Host: GitHub
- URL: https://github.com/secary/stats7022
- Owner: secary
- Created: 2025-02-04T11:51:00.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-24T12:07:05.000Z (over 1 year ago)
- Last Synced: 2025-02-24T13:22:53.053Z (over 1 year ago)
- Topics: r, rstudio, statistics
- Language: R
- Homepage: https://www.adelaide.edu.au/course-outlines/110033/1/tri-1/2025
- Size: 10.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# STATS 7022, Tri1, 2025
## [Data Science PG](https://www.adelaide.edu.au/course-outlines/110033/1/tri-1/2025)
This course will introduce the fundamental concepts of modern data science. It will provide students with tools to deal with real, messy data, an understanding of the appropriate methods to use, and the ability to use these tools safely. Topics will include data structures; regression models including lasso regression, ridge regression and non-linearity with splines; classification models including logistic regression, linear discriminant analysis, support vector machines and random forests; and unsupervised learning methods such as principal component analysis, k-means and hierarchical clustering. The practical skills will be focused on data science in R.
## Online Learning Material
* Week 1
Overview of Models
* Week 2
Regression and Classification
* Week 3
EDA
* Week 4
LDA, QDA, and NB
* Week 5
Model Selection and Ridge Regression
* Week 6
Lasso, PCR, and PLS
* Week 7
Poly, Smooth, and LOESS
* Week 8
MARS and CART
* Week 9
Random Forest and SVM
* Week 10
PCA and Clustering
* Week 11
MDS and the EM Algorithm
* Week 12
Finishing Up