dry-beans-dataset

Here are 4 public repositories matching this topic...

bharatkulmani / Dry-Bean

Project is about predicting Class Of Beans using Supervised Learning Models

classifier numpy eda pandas seaborn outlier-detection confusion-matrix decision-tree-classifier outlier-removal smote label-encoding one-hot-encoding smote-sampling lazypredict standard-scaler dry-beans-dataset

Updated Mar 27, 2023
Jupyter Notebook

Mostafa-Nafie / dry-bean-classification

Star

machine-learning kaggle-competition svc dry-beans-dataset

Updated May 30, 2022
Jupyter Notebook

deepankarvarma / Parameter-Optimization-Of-SVM

Sponsor

Star

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