Web scraping
Web scraping is a specialised library. Say what job it does in one line, then one tiny call you would write. Don’t fake a full ML pipeline on a fresher page.
Web scraping: PyTorch = tensors/models. OpenCV = images. SimpleImputer = fill missing numbers. Folium = maps. Spark/MLlib = big data. nsetools = market quotes. Grid search = try hyper-parameters. scraping = fetch HTML then parse.
Viva for Web scraping — purpose + one function name + one caution (API keys, missing values, robots.txt).
Web scraping — output — Asha. Real scraping uses requests + BeautifulSoup. Respect robots.txt.
What it does + one API name + one caution.