Home
Overview
Syllabus
Schedule
Honor Culture
Software
Motivation
Python
Python Fundamentals
PIP
Numpy
Pandas
ResearchPy
Visualization
Matplotlib
Seaborn
Bokeh
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
Keras Neural Networks (Coming Soon)
Boosting (Coming Soon)
Gradient Boosting
Adaboost
Extreme
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)