How to Handle Missing Values in Python | Data Cleaning with Pandas

In this tutorial, I’ll show you how to handle missing values in a real customer dataset using Python and Pandas in Jupyter Notebook.

You’ll learn:
✅ How to detect missing data using .isnull()
✅ How to fill missing numeric values with mean
✅ How to fill missing text values with mode or placeholders
✅ Best practices for Pandas (no FutureWarnings!)

🧩 Tools Used: Python, Jupyter Notebook, Pandas
📂 Dataset: https://drive.google.com/file/d/1VUjl...

💡 Watch the previous episode: Preparing Notebook and Loading Data (Ep.1)
here :    • Preparing Notebook and Loading Data  Data ...  

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