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11:43
YouTube
Data Science with Onur
How to Analyze Insurance Data with Python: A Step-by-Step EDA Guide
In this video, we will explore an insurance charges dataset using Python libraries such as pandas, numpy, seaborn, and matplotlib. Through this exploratory data analysis, we will gain insights into factors that affect insurance charges such as age, BMI, smoking habits, and more. We will use various visualizations and statistical measures to ...
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