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MTH601 @ UMass Dartmouth, Spring 2025
Home
0. Announcements
00. Getting started
01. Course Texts
02. Instructor
03. Course outline
04. Expectations
05. Assessment
06. Reading list
07. UMass Dartmouth Students academic integrity policy
08. Lecture notes
Supplementals
R code for autompg regression
R code for classification on the UC Irvine Wine data
R code for deep NN on MNIST
R code for logisitc regression on spam data
R code for logistic regression on bank note data
R code for multiple logistic regression
R code for neural network on Iris data
R code for Neural network on Spam data
R code for RF on German credit data
R code for RF on Spam data
R code for tree on Iris data
SVM for Iris data
SVM on Spam data
Introductory machine learning
Toy regression example
Toy regression example
09. Homework
Homework 0x
Homework 1
Example for Homework 1
Extract car prices
The SD line
Homework 2
Homework 3
10. Projects
Lab Z0
Project 1
Project 2
11. R programming
12. Exam practice
13. Consulting
Poisonous spiders
Region discovery
Transaction amount
Tree rings
14. Some datasets
MTH601 @ UMass Dartmouth, Spring 2025
00. Getting started
Course syllabus
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