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  1. Movie-Recommendation-System Movie-Recommendation-System Public

    We created four movie recommendation systems, including demographic filtering, content-based filtering, collaborative filtering, and hybrid engine.

    Jupyter Notebook 2

  2. Walmart-Weekly-Sales-Forecast Walmart-Weekly-Sales-Forecast Public

    We built models to forecast Walmart 45 stores' weekly sales with MAPE less than 6%, using Python and R.

    Jupyter Notebook 2

  3. WiDS-Datathon-2022 WiDS-Datathon-2022 Public

    I participated in the WiDS Datathon 2022, which is a social impact challenge focusing on the environment and climate change.

    Jupyter Notebook 1

  4. AB-Testing-on-App-Booking-Page AB-Testing-on-App-Booking-Page Public

    Conducted AB Testing and examine causal inference on redesigning app UI to improve conversion rate among user journeys.

  5. Home-Credit-Default-Risk Home-Credit-Default-Risk Public

    Forked from chiayenho/Home-Credit-Default-Risk

    Built prediction models using a combination of XGBoost, LightGBM, and Catboost in a Kaggle Competition.

    Jupyter Notebook

  6. Image-Classification-Cats-and-Dogs Image-Classification-Cats-and-Dogs Public

    Used CNN techniques for image classification between cats and dogs.

    Jupyter Notebook