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I have 17 years of experience in Programming and Data Science working for big tech companies like NVIDIA and Bloomberg. I also run a famous YouTube channel called Codebasics where I pursue my passion for teaching. Codebasics is one of the top channels on YouTube when it comes to data science, machine learning, data structures, etc. I firmly believe that “Anyone can code” and I use analogies, simple explanations, and step-by-step storytelling to explain difficult concepts in such a way that even a high school student can understand them easily.
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
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