Skip to content
View peng0363's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report peng0363

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.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

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

Report abuse

Pinned Loading

  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