svm-kernel

A machine learning project to predict diabetes using a Support Vector Machine (SVM) model. The project utilizes the Pima Indians Diabetes Database to train and evaluate the model, providing performance metrics such as accuracy, precision, recall, and F1-score.

machine-learning svm kaggle classification svm-model svm-classifier diabetes-detection diabetes-prediction svm-kernel pima-indians-diabetes

Updated Jul 1, 2024
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esscova / svm-R

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Este repositório contém uma implementação do algoritmo SVM para classificação de dados nos datasets Iris e Wine, usando a linguagem R com RStudio. Você pode executar o código localmente ou com Docker.

svm ml iris svm-classifier iris-classification svm-kernel wine-classification wine-dataset

Updated Jun 14, 2024
R

Mahtab-Shabani / Neural-Network-SVM

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neural-network svm svm-training svm-model svm-classifier object-oriented-programming svm-kernel

Updated Mar 29, 2024
MATLAB

Samir-Zade / SVM-Decision-Tree-and-Naive-Bayes-Algorithm

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This repository contains implementations of popular machine learning algorithms including Support Vector Machine (SVM), Decision Tree, and Naive Bayes. Each algorithm is implemented separately, providing clear and concise examples of their usage for classification tasks.

python machine-learning svm machine-learning-algorithms decision-trees decision-tree-classifier svm-classifier decision-tree-regressor svm-kernel svm-regressor svr-regression-prediction svc-classfier-prediction

Updated Mar 9, 2024
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haniye6776 / loan-risk

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SVM with different kernels and decision trees

entropy polynomial decision-tree svm-model gini rbf undersampling svm-kernel

Updated Mar 5, 2024
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beingwaseem / Kernelizing-Cells-SVM-in-Cancer-Detection

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machine-learning svm-classifier classification-algorithm svm-kernel

Updated Feb 3, 2024
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akshit285 / Diabetic-Prediction-using-ML

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Comparative analysis of various Machine Learning Classification algorithms on the diabetic prediction dataset.

naive-bayes-classifier logistic-regression decision-tree-classifier random-forest-classifier knn-classifier svm-kernel xgboost-classifier

Updated Jan 13, 2024
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JaewonSon37 / Data_Mining

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Topic: Data Analysis with Voice Dataset for Gender Recognition // Summary: Explored algorithms and found the best model that showed a 98.2% classification accuracy for a voice dataset

voting jupyter-notebook logistic-regression decision-tree-classifier svm-classifier boosting bagging random-forest-classifier knn-classifier svm-rbf svm-kernel

Updated Dec 15, 2023
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nihil21 / custom-svm

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Custom implementation of Support Vector Machines using Python and NumPy

python numpy svm python3 svm-learning svm-classifier svm-kernel

Updated Nov 26, 2023
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Kaslanarian / PySVM

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PySVM : A NumPy implementation of SVM based on SMO algorithm. Numpy构建SVM分类、回归与单分类，支持缓存机制与随机傅里叶特征

python machine-learning svm svm-classifier one-class-svm svm-kernel svm-regressor random-fourier-features

Updated Nov 19, 2023
Python

chaitanya9321 / Titanic-Survival

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Created a Titanic dataset analysis and prediction web app using Flask. Explored passenger data, engineered features, and deployed a predictive model for survival estimation.

docker machine-learning deployment flask-application support-vector-machines svm-classifier svm-kernel

Updated Nov 17, 2023
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gzmgrnmz / machine_learning_prediction

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exploratory-data-analysis machine-learning-algorithms logistic-regression support-vector-machines decision-tree svm-training svm-classifier k-nearest-neighbours classification-trees svm-kernel training-testing

Updated Oct 23, 2023
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MYoussef885 / Diabetes_Prediction

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The "Diabetes Prediction" project focuses on predicting the likelihood of an individual having diabetes using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and Support Vector Machines (SVM), this project offers a comprehensive solution for accurate classification.

data-science machine-learning pandas-dataframe sklearn svm-training svm-classifier numpy-arrays svm-kernel google-colab-notebook sklearn-metrics