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lizhiyidaniel/README.md

Hi, I am Zhiyi 👋

I am a recent data science (comoputational linguistics) graduate from UBC 🏫. I am working as a machine learning research assistant at UBC under supervision of Dr. Jungyeul Park.

✔️ I love natural language processing 💻 and machine learning and believe in their impacts to make the world 🌏 a better place

✔️ I am currently looking for full time positions and working on some side projects to build my portfolio

✔️ In my spare time, I enjoy reading 📚, going to gym 🏃 and watching movies 🎥

To know more about me:

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  1. katalon katalon Public

    Forked from SSSYJ/katalon

    Jupyter Notebook

  2. sentiment_analysis_with_transformers sentiment_analysis_with_transformers Public

    Jupyter Notebook

  3. spam_classifier_naive_bayes spam_classifier_naive_bayes Public

    Using Naive Bayes to classify whether a message is spam or not

    Jupyter Notebook

  4. Marketing_segmentation_unsupervised_learning Marketing_segmentation_unsupervised_learning Public

    Perform marketing segmentation for advertising by unsupervised learning techniques: clustering (k-means), principal component analysis and auto encoders

    Jupyter Notebook

  5. Item_based_recommender_system Item_based_recommender_system Public

    Recommender systems are algorithms that could help customers to discover products such as movies or songs by predicting their ratings of the item and display similar items they like

    Jupyter Notebook

  6. Sales_prediction_time_series Sales_prediction_time_series Public

    forecast future sales based on historical ones while taking into account of seasonality effects, demand, holidays, promotions, and competition

    Jupyter Notebook