1. Introduction
6 minStep 1 of 12
Clean and explore a car specs dataset — nulls, filters, value counts, and column transforms
What you'll need
- •Jupyter, VS Code notebooks, or Colab. Keep cars-dataset.csv beside your notebook.
Why this matters
Tabular cleaning on a real dataset — the same workflow as customer records, inventory, or product catalogs before ML.
What you'll have at the end
A notebook that loads the cars CSV, cleans nulls, filters by region and weight, and bumps city MPG values.
pandasdata cleaningfilteringvalue_countsapply
