ramakanth0405/pg_s3_lab ? reverse-engineered prompt

Build me a clean student friendly repository for PG Data Science and Analytics semester 3 practicals, with Jupyter notebooks and small Python scripts for machine learning, NLP, and IoT style web scraping and parsing.

I want it to include a handful of practice exercises that actually run with the provided datasets, things like basic data cleaning, charts, simple classification or regression, text preprocessing, tokenization, stopword removal, sentiment or text analysis, and scraping or parsing HTML, CSV, JSON, XML, and plain text. Make the notebooks easy to follow, with short explanations and clear outputs, so someone can use them for lab submissions and revision.

Please set up the project so it installs from requirements.txt, and include the right setup notes for NLTK data and the spaCy English model. Keep the code simple, readable, and organized in the existing folders for ML, NLP, and IoT. If anything is unclear, look up current docs online and make sensible choices.