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Sheng Jun Ang
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個人の実績
個人の実績
個人の実績
- Google Home/ Pixel Reddit posts classifier
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
- Terrorist Bomb Incident NLP Classifier
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
