GitHub

This project involves implementing a Support Vector Machine (SVM) from scratch in Python to classify the MNIST dataset digits into even and odd numbers. The SVM is trained ...

The MNIST dataset is loaded and preprocessed. Digits are classified into two groups: even and odd, represented by +1 and -1 labels respectively. Implemented SVM with a linear kernel using gradient ...
GitHub

A Support Vector Machine model for diabetes prediction using Python”

The SVM model was trained to classify diabetes with promising accuracy. Feature scaling significantly impacted performance. Model evaluation showed balanced prediction with a reasonable confusion ...
IEEE

SVM Classifier and evaluation of muscle power of EMG signals and Python implementation

Abstract: In this work, an EMG-based signal implemented through a Python programming methodology classifier is presented. The developed system is based on the flexor digitorum profundus muscle signals ...