soft-voting

98.25% accurate Breast Cancer detection - This is an Ensemble Machine learning Model utilising Pytorch and Tensorflow neural networks. Scikit voting classifier was used to create soft voting.

Application for soft voting algorithm demonstration

Intro to Machine Learning Final Project

Property-based audit of voting ensemble aggregators (structural asymmetry, not demographic bias)

Ensemble Modelling based verifier-like Attestation Framework designed for IoT Network Security aiding in multilabel and multiclass malware detection.

Intro to Machine Learning Assignment 3

A reproduced & extended soft voting multiclass , multilevel custom-tuned ensemble to assign oxidation states in MOF.

🧠 Mental Health Risk Prediction: A machine learning-based system designed to predict mental health risk levels (Low, Medium, High) using survey data from multiple countries. The project includes data preprocessing, EDA, clustering, feature selection, and classification models.

Spam email classification using ensemble learning.