Handling Missing Values using Mean & Median | Part 3| Data Preprocessing

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In this video, we’ll learn how to handle missing values using mean and median imputation — simple yet powerful techniques for preprocessing your data.
Missing data is a common issue in real-world datasets, and it's important to handle it properly before feeding it to a machine learning model.

What You'll Learn:

What are missing values

Why mean and median are used

How to use pandas to apply these techniques

Visual comparison before and after imputation

Timestamps:
00:00 - Explanation of Topic
04:57 - Step 1
09:52 - Step 2
12:42 - Step 3
14:56 - Step 4
16:55 - Step 5
20:14 - Visualization
31:47 - Windup

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