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Garrnesh/README.md

Hi there! I'm Ganesh from Singapore πŸ‘‹


πŸ‘¨πŸ½β€πŸ’» About me :

  • 🏫 NTU Renaissance Engineering Programme, specialising in Computer Engineering
  • 🌍 Year 3 Exchange Student at Imperial College London
  • πŸ’‘ My Interest includes Software Engineering, Machine Learning & Artificial Intelligence, and Data Analytics

πŸ› οΈ Technical Stack:

Frontend and Backend Development:


Databases:


Data Science & Artificial Intelligence:


DevOps:


πŸ”₯ My Stats:

GitHub Streak

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  1. Overworked Overworked Public

    Our project, 'ThriftIt', is an e-commerce app in the second-hand clothing market. Individuals can purchase second-hand clothing items and businesses can sell items through our portal.

    JavaScript 1 1

  2. Team8_DSAI_Final_Code Team8_DSAI_Final_Code Public

    In this project, we compared different machine learning models to improve breast cancer prediction on whether the diagnosis is malignant or benign.

    Jupyter Notebook 1

  3. Introduction-to-Machine-Learning-Coursework-1-Decision-Trees Introduction-to-Machine-Learning-Coursework-1-Decision-Trees Public

    In this project, we developed a decision tree from scratch and used a 10 fold cross evaluation technique to evaluate the model.

    Jupyter Notebook

  4. MOBLIMA MOBLIMA Public

    Forked from SC2002-MOBLIMA/src

    MOBLIMA, a Java application, allows movie goers to book tickets while providing administrators with tools for streamlined management of bookings and show timings

    HTML

  5. YouthxHack-Total-Defense-Hackathon YouthxHack-Total-Defense-Hackathon Public

    Forked from CodeLutetium/YouthxHack-NHEngingers

    Our project, is an e-commerce app that aims to promote food security in Singapore. It aims to connect local produce sellers to Singaporeans without a need for a retailer

    JavaScript

  6. Reinforcement-Learning-CW2 Reinforcement-Learning-CW2 Public

    In this assignment, I tuned the hyperparameters of a DQN model to be able to solve the cart pole balancing problem, maximising the total rewards achieved

    Jupyter Notebook