Machine Learning

Machine Learning is about algorithms improving from data. In this section you find some of mine machine learning snippets or code examples.

Note: The orginal examples are also available in my GitHub repository as Jupyter Notebooks.

Unsupervised Learning

In unsupervised learning the training data consists of a set of input vectors without any corresponding target values.

We can separate unsupervised learning into two groups:

Clustering

Cluster analysis or clustering is the task of grouping unlabeled data to cluster, so that similar object belongs to the same cluster.

Dimension Reduction

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Supervised Learning

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Classification

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Regression

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