Learn topic modelling using BERTopic in this applied NLP tutorial video. Explore the Meta Kaggle Dataset and extract Notebooks data while leveraging Hugging Face transformers and c-TF-IDF to create dense clusters for interpretable topics. Discover how to visualize results with an interactive Intertopic Distance Map. Cover key concepts including data filtering, embedding models, probability calculation, and various visualization options. Gain hands-on experience with the BERTopic Python library and apply these techniques to analyze Kaggle Notebooks from 2021.