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Web-scrapping using Reddit API and Classification models | Python Data is collected using Reddit API and Natural Language Processing (NLP) techniques were applied to derive insights on the Reddit posts and in the building and tuning of Machine Learning (ML) models for classification of posts. Dataset: Reddit posts data collected via API
Text Classification: Supervised & Unsupervised Learning Approaches | Python A text classifier model that processes and classifies terrorist attack modes would alleviate the intelligence analyst's workload. In this project, I explored Topic Modeling (unsupervised learning approach) as an input to supervised learning classification, as well as model deployment. Dataset: Global Terrorism Dataset (1970 to 2017), Kaggle
Deployed machine learning model for capstone project. The model classifies the binary type of a potential terror attack (bombing and non-bombing) based on unstructured data (intelligence text). Through this project, I also explored and applied unsupervised learning (Latent Dirichlet Allocation) for topic modeling to gain insights into the contextual meaning for the intelligence text.
