nearest-centroid-classifier

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jonathanloganmoran /EDAN95-Applied-Machine-Learning

This is the repository for the EDAN95 - Tillämpad maskininlärning (Applied Machine Learning) course given at Lunds Tekniska Högskola (LTH) during the Fall 2019 term.

machine-learning reinforcement-learning word-embeddings n-grams recurrent-neural-networks named-entity-recognition naive-bayes-classifier gaussian-mixture-models image-classification convolutional-neural-networks markov-decision-processes expectation-maximization-algorithm decision-tree-classifier k-nearest-neighbours monte-carlo-methods id3-algorithm k-means-clustering long-short-term-memory nearest-centroid-classifier gaussian-naive-bayes-classification

UpdatedJan 24, 2022
Jupyter Notebook

LBBassani /classificador-haskell

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Classificadores vizinho mais próximo, k-vizinhos mais próximos e centroíde programados em Haskell para primeiro e segundo o trabalho computacional de Programação Funcional.

haskell nearest-neighbor knn nearest-neighbours-classifier centroid classifier-training k-nearest-neighbors knn-classifier k-nearest-neighbor-classifier nearest-centroid nearest-centroid-classifier

UpdatedDec 10, 2020
Haskell

abisliouk /IE500-data-mining

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The goal of this project is to create a classifier and see how accurately it can predict song genres. Taking a dataset from Spotify [Pandya, 2022], which is al- ready using machine learning algorithms for these purposes, can help assess if the resulting model can be considered apt for a large-scale business.

decision-tree-classifier multinomial-naive-bayes random-forest-classifier mlp-classifier knn-classifier gaussian-naive-bayes xgboost-classifier nearest-centroid-classifier

UpdatedApr 13, 2024
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