• K-nearest neighbor

  • Support vector machine (SVM)

  • Logistic regression

  • Linear regression

  • Naive Bayes

  • Neural Networks

  • Supervised Learning

  • Representing Data and Engineering Features

  • Penggunaan algoritma yang tepat untuk Deep Learning

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