My work in machine learning includes analyzing the Tooth X-Ray dataset taken from a dentist which was unsorted. I sorted the dataset into four classes: Carious, Periodontal, Mid-treatment and normal teeth. Here I applied Convolutional Neural Networks model over the dataset and after tuning the parameters, extracting the features, the model got an accuracy of 89.03%. I have tested different models like Support Vector Machines, Random Forest, Neural Network, etc. on various datasets available on Kaggle.
I achieved the 2nd position in Backyard Data Science held at IIIT-NR.