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MTH601 @ UMass Dartmouth, Spring 2025
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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
10. Projects
To be announced.
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