Chest_X-Ray_Diagnosis

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.

Project Steps

• 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[~]