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dry-beans-dataset

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deepankarvarma / Parameter-Optimization-Of-SVM

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This repository contains code for parameter optimization of Support Vector Machines (SVM) using the Dry Bean Dataset. The code is implemented in Python using scikit-learn library. The goal of this project is to find the best parameters for the SVM model in order to achieve the highest accuracy possible for the Dry Bean Dataset.

python data-science machine-learning svm scikit-learn jupyter-notebook classification multiclass-classification parameter-optimisation dry-beans-dataset
  • Updated Apr 25, 2023
  • Python

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