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  1. Travelling-Thief-Problem-Genetic-Algorithm-_Approach Travelling-Thief-Problem-Genetic-Algorithm-_Approach Public

    This project solves the GECCO19 Traveling Thief Problem (TTP) using a Multi-objective Evolutionary Algorithm (MOEA) to optimize both travel time (TSP) and profit (KNP) with advanced crossover, muta…

    Jupyter Notebook

  2. Face-Mask-Detection Face-Mask-Detection Public

    This project implements real-time face mask detection using YOLOv8 and deep learning to classify mask usage (with mask, without mask, incorrectly worn) from images or video streams, with performan…

    Jupyter Notebook

  3. Evolutionary-Algorithm-for-Traveling-Salesman-Problem-TSP- Evolutionary-Algorithm-for-Traveling-Salesman-Problem-TSP- Public

    In this project, I implemented an Evolutionary Algorithm (EA) to solve the Travelling Salesman Problem (TSP), a classic optimization challenge where the goal is to find the shortest route that visi…

    Python

  4. Churn-Prediction Churn-Prediction Public

    This project focuses on predicting customer churn, the goal is to identify customers at risk of leaving and develop machine learning models to predict churn. Various classifiers like Random Forest,…

    Jupyter Notebook

  5. Diabetes-Classification Diabetes-Classification Public

    This project uses machine learning to classify diabetes based on health indicators from the Pima Indians Diabetes Dataset. Various models are compared.

    Jupyter Notebook

  6. Optimisation-TSP-with-Evolutionary-algorithm Optimisation-TSP-with-Evolutionary-algorithm Public

    This project implements an Evolutionary Algorithm to solve the Traveling Salesman Problem (TSP) using crossover, mutation, and selection strategies, visualizing and optimizing routes for the best …

    Python