MachineLearning

This is jupyter notebook for AMAT592 Machine Learning Course at SUNY Albany.

Module 0: Background review.

Module 1: Supervised Learning.

Module 2: Unsupervised Learning.

Module 3: Deep Learning.

Name		Name	Last commit message	Last commit date
Latest commit History 313 Commits
.idea		.idea
.ipynb_checkpoints		.ipynb_checkpoints
.vscode		.vscode
Module0		Module0
Module1		Module1
Module2		Module2
Module3		Module3
data		data
homework		homework
image		image
syllabus		syllabus
textbook		textbook
.DS_Store		.DS_Store
.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md
Summary.ipynb		Summary.ipynb

yexf308/MachineLearning