dry-beans-dataset

There are 0 repository under dry-beans-dataset topic.

bharatkulmani / Dry-Bean
Project is about predicting Class Of Beans using Supervised Learning Models
classifier confusion-matrix decision-tree-classifier eda label-encoding lazypredict numpy one-hot-encoding outlier-detection outlier-removal pandas seaborn smote smote-sampling standard-scaler dry-beans-dataset
Language:Jupyter Notebook 2
Mostafa-Nafie / dry-bean-classification
kaggle-competition machine-learning svc dry-beans-dataset
Language:Jupyter Notebook 0
deepankarvarma / Parameter-Optimization-Of-SVM
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.
classification data-science dry-beans-dataset jupyter-notebook machine-learning multiclass-classification parameter-optimisation python scikit-learn svm
Language:Python
santiagoahl / platzi-dry-beans-classification
Here we built a multinomial logistic regression classifier with scikit-learn. It takes numerical data of a bean an predicts which class does it belong to.
dry-beans-dataset multiclass-logistic-regression smote gridsearchcv
Language:Jupyter Notebook

bharatkulmani / Dry-Bean