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Achievement: Arctic Code Vault ContributorAchievement: Pull SharkAchievement: Starstruck

Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull SharkAchievement: Starstruck

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kwokhing/README.md

Hi there! I'm Kwok Hing, a passionate Data Scientist using Machine Learning, in particular, Natural Language Processing (NLP) and Generative AI (GenAI) to obtain insights, predict outcomes, and improve productivity by automating / optimising processes

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πŸ“„ Skills:

πŸ“Š Data Science Languages: Python, R, SQL
πŸ€– Machine Learning: scikit-learn, TensorFlow, PyTorch
πŸ§ͺ Reinforcement Learning: Stable-Baselines3
πŸ“š Natural Language Processing: NLTK, Gensim, spaCy, Transformers, BERT, S-BERT, HuggingFace
οΏ½? Generative AI: Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, Azure OpenAI
πŸ“ˆ Data Visualization: Tableau, Power BI
πŸ› οΈ Web Applications: Gradio, Streamlit, Flask, Bootstrap, CSS

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πŸ“« Connect with Me:

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  1. AI-Planet-LLM-Bootcamp-Challenge AI-Planet-LLM-Bootcamp-Challenge Public

    An LLM challenge to (i) fine-tune pre-trained HuggingFace transformer model to build a Code Generation language model, and (ii) build a retrieval-augmented generation (RAG) application using LangChain

    Jupyter Notebook 5

  2. Demo-on-automated-fact-checking-using-S-BERT Demo-on-automated-fact-checking-using-S-BERT Public

    In this demo, we illustrate the the possibility of using Semantic Search + Recognising Textual Entailment with Gradio to build an automated fact checking tool

    Jupyter Notebook

  3. SentimentAnalysis-Python-Demo SentimentAnalysis-Python-Demo Public

    Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

    Jupyter Notebook 14 11

  4. YandexCatBoost-Python-Demo YandexCatBoost-Python-Demo Public

    Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed …

    Jupyter Notebook 30 16

  5. Regression-with-a-Crab-Age-Dataset Regression-with-a-Crab-Age-Dataset Public

    A light-weight Kaggle challenge to predict crabs' age

    Jupyter Notebook

  6. vibe-coding-pygame-with-amazon-q-cli vibe-coding-pygame-with-amazon-q-cli Public

    Vibe codes a simple 2D shooting pygame using Amazon Q CLI

    Python