Description
Implement a Naïve Bayes classifier;Discover hidden structures in your data using k-means clustering;Implement k-means clustering and Expectation Maximization in OpenCV;Implement a simple multi-layer perceptron in OpenCV;Train and tweak neural networks;Build an ensemble classifier from decision trees in OpenCV;Combine different algorithms into a simple majority-vote classifier;Learn to tweak the hyperparameters of a model.
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