Guelph University
School of Engineering
ENG6600: Advanced Machine Learning
TOPIC #5c, Supervised Learning (Classification Algorithms)

Lecture Notes:

K-Nearest Neighbor Algorithm (KNN), (PPT)

K-Nearest Neighbor Algorithm (KNN), (PDF)

K-Nearest Neighbor Algorithm (KNN), (mp4)

Decision Trees, (PPT)

Decision Trees, (PDF)

Decision Trees, (mp4)

Logistic Regression, (PPT)

Logistic Regression, (PDF)

Logistic Regression, (mp4)

Naive Bayes, (PPT)

Naive Bayes, (PDF)

Naive Bayes, (mp4)

Support Vector Machines, (PPT)

Support Vector Machines, (PDF)

Support Vector Machines, (mp4)

Artificial Neural Networks (Part I), (PPT)

Artificial Neural Networks (Part I), (PDF)

Artificial Neural Networks (Part I), (mp4)

Artificial Neural Networks (Part II), (PPT)

Artificial Neural Networks (Part II), (PDF)

Artificial Neural Networks (Part II), (mp4)

Papers:

The KNN Algorithm (Tutorial).

The KNN Algorithm (YouTube).

Decision Trees (YouTube).

Decision Trees Classification in Python (Tutorial).