Queen's University
STAT 362 — Data Science
8 documents • ranked by quality and engagement.
This course covers the computational and statistical techniques required to extract insights from large datasets.
Practical Guide to k-means Clustering
STAT 362 · Queen's University
18p
Decision Trees for Classification and Regression
STAT 362 · Queen's University
11p
Introduction to Decision Trees for Classification and Regression
STAT 362 · Queen's University
11p
k-means Clustering - A Practical Guide
STAT 362 · Queen's University
18p
Writing Functions in R - Simplify Code and Improve Efficiency
STAT 362 · Queen's University
16p
Model Assessment Methods - Cross-validation and Bootstrap
STAT 362 · Queen's University
9p
Writing R Functions to Improve Efficiency
STAT 362 · Queen's University
16p
Model Assessment - Cross-validation and Bootstrap Methods
STAT 362 · Queen's University
9p