Скачать или смотреть GENAI_05: Pandas DataFrame Basics Explained | Viewing, Selecting & Filtering for Generative AI

Before any Generative AI model can be trained, the dataset must be structured, filtered, and cleaned. That’s where Pandas DataFrames come in.

In this video, we’ll cover the basic functionalities of DataFrames:
✅ Viewing data with head() and tail()
✅ Selecting rows and columns with loc[], iloc[], and indexers
✅ Filtering data with Boolean conditions and isin()
✅ Editing by adding, inserting, or deleting rows and columns
✅ Running descriptive statistics with describe()
✅ Sorting and reindexing datasets

💡 Generative AI Use Cases Covered:

Previewing prompt–completion pairs for LLM fine-tuning

Filtering out low-quality responses or missing captions

Adding new columns for embedding scores or metadata

Standardizing values before feeding data into models

Sorting and reindexing datasets to align with external references

By the end of this session, you’ll know how to view, filter, and organize data in Pandas — skills that make raw datasets AI-ready.
#demystifyingwithAjay #@DemystifywithAjay