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sgbd-perfomance-python-ml's Introduction

Projeto desenvolvido em python para análise e predição de queda de performance em SGBD IBM-DB2 com base nas principais características de consumo do banco de dados e do uso de recursos do servidor.

Projeto desenvolvido no Google Colab, utilizando base dados criada para este fim.

Algoritmos de classificação pare predição de quedas de performance:

  • Naive Bayes
  • Árvore de Decisão
  • KNN
  • Regressão Logística
  • Random Forest
  • SVM
  • MLP

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