Home
Overview
Syllabus
Schedule
Honor Culture
Software
Motivation
Python
Python Fundamentals
PIP
Numpy
Pandas
ResearchPy
Machine Learning
Overview
Sklearn Introduction
Supervised Machine Learning
K-Nearest Neighbors
Decision Tree Classifier & Regressor
Random Forest Classifier & Regressor
SGD Classifier & Regressor
Support Vector Machines
Unsupervised Machine Learning
Principal Component Analysis
Cluster Analysis
Projects
Mattson Global
Mattson Music
Mattson Nutrition
Machine Learning Ethics
Course designed by Tom Mattson (profmattson007@gmail.com)