Implementing Various Supervised Machine Learning Algorithms to classify lung diseases from The NIH Chest X-ray Dataset which contains 112,120 images with disease labels from 30,805 unique patients.
- Data EDA and Preprocessing [~]
- Implmeneting Logistic Regression [~]
- Implementing Random Forest [~]
- Testing out Suitable CNN architechtures[~]
- Implementing ResNet[~]
- Performance tuning[~]
- Trying out our own simple architecture[~]