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This project implements semantic image segmentation using two popular convolutional neural network architectures: U-Net and SegNet. Semantic image segmentation involves partitioning an image into multiple segments, each representing a different class.
Medical appointment prediction is a crucial task in healthcare, as it helps healthcare providers to efficiently manage their resources and improve patient outcomes. In recent years, machine learning algorithms have been increasingly used to predict medical appointments and reduce no-show rates.
Breast Cancer Detection using Deep Neural Network: In these project I worked on sklearn datasets and predicted "Malignant" or "Benign" on breast cancer dataset with 94% Accuracy.