GitHub

miransikay/Classification-and-Imputation-with-SVM-and-KNN-on-Numerical-Dataset

This project explores how Support Vector Machines (SVM) and K-Nearest Neighbors (KNN) perform on a medical dataset. I also experimented with handling missing values by introducing NaNs and imputing ...
IEEE

Systematic Optimization of Training and Setting of SVM-Based Microwave Stroke ...

Impact Statement: Take-Home Messages •Dielectric parameters of brain tissues affected by hemorrhagic and ischemic type of stroke differ in terms of value and direction of change compared to healthy ...
GitHub

Analysis-of-SVM-models

Overview: This work explores the performance of Support Vector Machine (SVM) models with different kernels for a binary classification task. The goal is to predict a target variable based on a dataset ...