Python for AI #2: Exploring and Cleaning Data with Pandas

The tutorial focuses on data preparation for machine learning using Python's Pandas library. It covers data exploration, cleaning, and handling missing values using a flight dataset. Key steps include understanding data types, identifying outliers, and encoding categorical variables. The session prepares learners for model training in the next lesson with scikit-learn.