Analysis of Abnormality in Humerus X-Ray images using DenseNet

A statistical computing project analyzing New York City’s crime data using supervised machine learning techniques. Explored spatial, temporal, and categorical crime patterns to build models that classify crimes by borough.

Text clustering, an unsupervised ML technique in NLP, groups similar texts based on content. Techniques like hierarchical, k-means, or density-based clustering categorize unstructured data, unveiling insights and patterns in diverse datasets. This exploration was part of the NLP course in my University of Ottawa master's program in 2023.