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nearest-centroid-classifier

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ZionC27 / MLB-Game-Winner-Predictor

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MLB Game Winner Predictor using Machine Learning

prediction xgboost mlb gradient-boosting-classifier mpl svc gradient-boosting savant xgboost-model mlb-prediction nearest-centroid nearest-centroid-classifier
  • Updated Jun 12, 2025
  • Jupyter Notebook

jonathanloganmoran / EDAN95-Applied-Machine-Learning

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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
  • Updated Jan 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
  • Updated Dec 10, 2020
  • Haskell

sakhan-1111 / Cyber-Attack-Monitoring-and-Detection-using-Machine-Learning-Techniques

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Source code for Cyber-Attack Monitoring and Detection using Machine Learning Techniques paper

pca dimensionality-reduction logistic-regression decision-tree-classifier stochastic-gradient-descent smote categorical-data machine-learning-techniques machine-learning-classifiers model-performance passive-aggressive-classifier ridge-classifier bernoulli-naive-bayes nearest-centroid-classifier accuracy-scores synthetic-minority-oversampling-technique cyber-attack-detection network-traffic-monitoring internet-of-things-networks stochastic-gradient-descent-classifier
  • Updated Jun 15, 2025
  • Python

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
  • Updated Apr 13, 2024
  • HTML

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