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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