Machine Learning with Python

Assignments from the course Machine Learning (2017/2018) at the Technical University of Munich.

Here you can find low level implementation of the following machine learning algorithms:

Gaussian Mixture Models Dataset: Old Faithful geyser in Yellowstone National Park, Wyoming, USA
Dimensionality reduction #PCA #SVD
Support vector machine #cvxopt #dualproblem
Linear regression Dataset: Boston housing
Logistic regression Dataset: UCI ML Breast Cancer Wisconsin #gradientdescent
k Nearest Neighbours Dataset: Iris

Name		Name	Last commit message	Last commit date
Latest commit History 26 Commits
Dimensionality reduction.ipynb		Dimensionality reduction.ipynb
GMM.ipynb		GMM.ipynb
Linear Regression.ipynb		Linear Regression.ipynb
Old Faithful Geyser.txt		Old Faithful Geyser.txt
Optimization in Logistic Regression.ipynb		Optimization in Logistic Regression.ipynb
README.md		README.md
Support vector machine.ipynb		Support vector machine.ipynb
k_nearest_neighbours.ipynb		k_nearest_neighbours.ipynb

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