Intro to Machine Learning Final Project
Application for soft voting algorithm demonstration
Intro to Machine Learning Assignment 3
Ensemble Modelling based verifier-like Attestation Framework designed for IoT Network Security aiding in multilabel and multiclass malware detection.
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.
Spam email classification using ensemble learning.
🧠 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.
Xandronyx.ML is a comprehensive toolkit for Android malware detection. It leverages multiple machine learning models to classify APK files using static analysis and includes a SHA-256-based malware hash checker with API support.
Intro to Machine Learning Project from TripleTen
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