project 4
Chest X-ray Classification for Pneumonia
This project aims at building an X-ray image classifier that helps classify pneumonia from the input chest X-ray images.
This project achieved the following:
- Used data augmentation to preprocess the data.
- Used KNN, XGBoost, and CNN respectively to build three models.
- Used cross-validation and grid search to find the optimal parameters for the model.
The Google Drive folder of this project can be found at here, which includes the implementation of the model, the project report, and the presentation slides.