Python implementation for a Gaussian mixture model classifier!
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Updated
Jul 2, 2020 - Python
Python implementation for a Gaussian mixture model classifier!
Wine Dataset with Gaussian Classifier
Predicting the volcanic eruption using ML Algorithms.
Python implementations of standard ML algorithms for classification, models evaluation and preprocessing.
Classifiers to label images of handwritten digits. Includes KNN, Conditional Gaussian Classifier and Naive Bayes Classifier
Italian Language Detection from Utterance Embeddings: A Comparative Study of SVM, Gaussian Models, Logistic Regression, and GMM. Made for the Machine Learning and Pattern Recognition course at Politecnico di Torino.
Iris Dataset classification with Gaussian Classifiers. No ML Library, low level algorithms.
This project implements probabilistic machine learning methods, including Bayesian classification, Gaussian discriminant models, and dropout in neural networks. It explores softmax regression, log-likelihood optimization, and performance evaluation using accuracy, ROC curves, and confusion matrices.
Python tools for classical machine learning, for when a deep neural net is just overkill
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