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Handle Missing Data - Part 1

Handle Missing Data - Part 1
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As a data analyst or data scientist, you will be dealing with messy data while working on real-life business use cases. At this time, how you handle invalid or missing data becomes an important skill. In this lecture, we will cover how to handle null values. We will cover the following pandas methods,

1. fillna
2. dropna
3. interpolate