Covid-19 X-Ray Image Classification

[aaradhyasinghgaur]

Title :- [Project Addition] : Covid-19 X-Ray Image Classification

Description :- One of the areas where machine learning can help is detecting the COVID-19 cases from chest X-ray images. The task is a simple classification problem where given an input chest X-ray image, the machine learning-based model must detect whether the subject of study has been infected or not.

Solution :- I've used 5 different dl models after researching various parameters such as their accuracy , size and density of layers
to identify which one gives the highest performance using matrices such as accuracy score , graph representation etc. and have also done data augmentation to make the models adept for the dataset.
i've also used data analysis on the dataset to remove any redundancy and duplicacy and used visualization techniques to show it.

Tools I've used :- Numpy , keras , matplotlib , scikit-learn , tqdm etc.

closes :- #120

Kindly review my pr and add suitable label for it as I have used 5 models to train and validate the dataset which takes a lot of time and computational resources.