- Teaches Latent Dirichlet Allocation (LDA) for topic modeling.
- Covers vector space representation and cosine similarity metrics.
- Hands-on exercises to cluster documents by theme.
- Prepares learners for analyzing large text corpora efficiently.
- Skills transferable to professional NLP, research, or analytics projects.
