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knn-classifier

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This project explores supervised classification using two different classifiers, namely the naive-Bayes classifier and the k-nearest neighbour classifier, conducted on three different datasets. The aim is to evaluate the best performance for each of the classifiers regarding each dataset. by properly tuning the parameters of each classifier so t…

  • Updated Sep 23, 2020
  • Python

Designed a successful ML model to predict the success of an ICO (Initial coin offering) by applying dfferent ML algorithms such as Random Forest, KNN and SVM, measured the performance and accuracy using different performance metrices such as Accuracy, Precision, Recall, F1score and ROC-AUC. This ML model was capable enough to handle unbalanced b…

  • Updated Mar 30, 2022

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