Name		Name	Last commit message	Last commit date
ML1_HW1		ML1_HW1
ML1_HW2		ML1_HW2
ML1_HW3		ML1_HW3
ML1_HW4		ML1_HW4
Practical 10 - Support Vector Machines-20230602		Practical 10 - Support Vector Machines-20230602
Practical 11 - Maximum Likelihood, K-means-20230602		Practical 11 - Maximum Likelihood, K-means-20230602
Practical 12 - Gaussian Mixture Model, Expectation-Maximization algorithm-20230609		Practical 12 - Gaussian Mixture Model, Expectation-Maximization algorithm-20230609
Practical 3 - Linear regression-20230609		Practical 3 - Linear regression-20230609
Practical 4 - Logistic regression, Gradient descent-20230609		Practical 4 - Logistic regression, Gradient descent-20230609
Practical 5 - Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA)-20230503		Practical 5 - Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA)-20230503
Practical 6 - Model Selection amp Evaluation-20230503		Practical 6 - Model Selection amp Evaluation-20230503
Practical 7 - Neural Networks (part 1)-20230503		Practical 7 - Neural Networks (part 1)-20230503
Practical 8 - Neural Networks (part 2)-20230510		Practical 8 - Neural Networks (part 2)-20230510
Practical 9 - k-NN, Decision Trees, Random Forests-20230602		Practical 9 - k-NN, Decision Trees, Random Forests-20230602
.gitignore		.gitignore
README.md		README.md

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Machine Learning

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Lecture Slides and Assignments from TU Graz Machine Learning 1

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