Ticket 4: ML Basics - Clean the Dummy Dataset

[matbbiji]

READ FIRST:

• ML Crash Course

Before we touch the massive real-world datasets, we need to prove our Pandas skills. I (Mathew) will provide a small, messy dummy_data.csv file. Write a Python script using Pandas to load this file, clean it, and prepare it for machine learning.

Definition of Done:

[ ] Python script successfully loads dummy_data.csv into a Pandas DataFrame.

[ ] All rows with missing (NaN) values are dropped.

[ ] The cleaned DataFrame is printed to the terminal.

[ ] Code is pushed to a new branch (e.g., feature/ml-dummy-data) and a PR is opened.