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conflict-serializability

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mehzabin-haque / Machine_Learning

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GitHub repository showcasing Machine Learning code: KNN, KMeans, Random Forest, Decision Tree, Apriori, Conflict Serializable, Naive Bayes used for skin detection and UCI dataset evaluation to check accuracy. Extensively tested on reliable datasets like breast_cancer and iris, providing valuable insights for ML training and testing.

python random-forest clustering naive-bayes naive-bayes-classifier classification k-means knn decision-tree apriori-algorithm skin-detection conflict-serializability apriori-algorithm-python
  • Updated Jul 30, 2023
  • Python

shazzad5709 / Machine-Learning

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This GitHub repository contains machine learning algorithms implemented in Python. The included algorithms cover a range of tasks, such as classification, clustering, association rule mining, and skin detection. The code is tested on reliable datasets like breast_cancer and iris, providing crucial insights and accuracy evaluation.

python machine-learning data-mining random-forest clustering machine-learning-algorithms naive-bayes-classifier classification kmeans decision-trees unsupervised-learning knn kmeans-clustering apriori-algorithm skin-detection conflict-serializability
  • Updated Oct 12, 2023
  • Python

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