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  1. Evaluate the performance of several state-of-the-art deep learning techniques on various text classification datasets. This project is part of Master's Thesis in Computer Control and Automation, NTU.

    Jupyter Notebook 18 6

  2. The IBM Applied Data Science Capstone: The Battle of the Neighborhoods. The project is to cluster Toronto neighborhoods using KMeans to find the best location for starting a coffee shop business.

    Jupyter Notebook 4 4

  3. Build a serverless deep learning model (end-to-end implementation) to classify real-world clothes images using TensorFlow, TensorFlow Lite, Docker, and AWS Lambda with API Gateway.

    Jupyter Notebook 5 1

  4. Personal Data Science Projects for 6 Business Cases in Sales, Marketing, Operations, Human Resource, Public Relations, and Production/Maintenance Departments (in progress).

    Jupyter Notebook 6

  5. Documentation of personal programming projects using Python.

    Jupyter Notebook 1

  6. DA_Projects Public

    Personal data analytics project using real-world datasets in Python

    Jupyter Notebook 1

133 contributions in the last year

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