Skip to content
View myeonghak's full-sized avatar
😆
feeling lucky
😆
feeling lucky

Block or report myeonghak

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
myeonghak/README.md

Hits

  • I am a Machine Learning Engineer mainly using python.
  • Interested in solving problems in business/marketing area such as Recommendations, Sentiment Analysis/Text Classification, Information Retrieval, Demand Prediction, etc.
  • Always eager to have deeper understanding on customers.
  • Currently Working on a GNN based Recommender System using credit card transaction data from millions of customers.

Interests

  • 🎁 Recommender Systems
  • 🌐 Graph Neural Networks
  • 🛠️ MLOps
  • 📋 Natural Language Processing
  • 💬 XAI(eXplainable AI)
  • 📈 Marketing Optimization
  • 📊 Visualization

Linkedin Badge Facebook Badge Gmail Badge


Pinned Loading

  1. DGL-tutorial DGL-tutorial Public

    그래프 딥러닝 라이브러리 DGL 쉽게 배우기

    Jupyter Notebook 65 9

  2. stock-news-summary stock-news-summary Public

    관심 주식 종목의 뉴스의 요약본을 메일로 전달하는 프로그램

    Jupyter Notebook 49 6

  3. kobert-multi-label-VOC-classifier kobert-multi-label-VOC-classifier Public

    pretrained kobert를 사용한 multi-label VOC(Voice of Customers) 태그 분류 모델

    Jupyter Notebook 16 7

  4. mlflow-rankfm mlflow-rankfm Public

    An example of MLflow Tracking and Models Using Factorization Machine Recommender model library, rankfm.

    Python 10 2

  5. Transformer-product-categorization Transformer-product-categorization Public

    트랜스포머 블록을 활용한 상품명 자연어처리 기반 카테고리 분류 모델

    Jupyter Notebook 10 1

  6. MAGNN_BERT MAGNN_BERT Public

    Improve MAGNN using pretrained distilBERT embedding

    Python 5 1