Intro to Machine Learning Final Project
Application for soft voting algorithm demonstration
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.
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.
Spam email classification using ensemble learning.
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.
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