machine_learning_exercises

Exercises for the Machine Learning course from VGIS at AAU

Exercises for the following lectures:

All exercises completed in Python

Installing conda environment:

conda env create --file machine_learning_env.yml

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
Datasets		Datasets
L01 - Introduction		L01 - Introduction
L02 - Bayesian Decision Theory		L02 - Bayesian Decision Theory
L03 - Parametric and Nonparametric Methods		L03 - Parametric and Nonparametric Methods
L04 - Dimensionality Reduction		L04 - Dimensionality Reduction
L05 - Clustering		L05 - Clustering
L06 - Linear Discrimination		L06 - Linear Discrimination
L07 - Support Vector Machines		L07 - Support Vector Machines
L08 - Multilayer Perceptrons		L08 - Multilayer Perceptrons
L09 - Deep Learning		L09 - Deep Learning
L10 - Time Series Models		L10 - Time Series Models
L11 - Graphical Models		L11 - Graphical Models
L12 - Algorithm-independent Machine Learning and Reinforcement Learning		L12 - Algorithm-independent Machine Learning and Reinforcement Learning
Mini-project		Mini-project
.gitignore		.gitignore
README.md		README.md
machine_learning_env.yml		machine_learning_env.yml