This was a personal technical project using concepts and skills I acquired in various classes from university. Using a dataset of Chest CT-scans found from Kaggle, I trained, tuned, and tested a convolutional neural network (CNN) to classify the type of tumor. I achieved a final model testing accuracy of 86%.

The most significant challenge I faced was improving the model's prediction accuracy. I optimized the performance of the CNN by making new training, validation, and testing splits and tuned hyperparameters to enhance model accuracy.